292. Hasan Zulfiqar*, Ramala Masood Ahmad, Hao Lin*, Xiao-Long Yu*. (2026) ac4C modification sites prediction in human mRNA: A complete review. Briefings in Bioinformatics, Accepted. (2024 IF: 7.7)
291. Yuanyuan Li, Xiaohui Huang, Yixuan Qi, Zheng Zhang, Hui Ding*, Quan Zou*, Li Liu*. (2026) Deep learning the TF regulatory code for gene expression. Genome Research, Accepted. (2024 IF: 5.5)
290. Xiaolong Li, Xinwei Luo, Sijia Xie, Yijie Wei, Feitong Hong, Yuqing Jiang, Xinrui Zhong, Xueqin Xie, Caiyi Ma, Yuduo Hao, Fuying Dao, Kun Yang*, Hao Lin*, Hongyan Lai*, Hao Lyu*. (2026) In Silico Discovery of Umami Peptides: From Sequence-Based Intelligent Models to Structure–Function Mechanistic Insight. Current Research in Food Science, Accepted. (2024 IF: 7.0)
289. Shang-Hua Liu, Rui Li, Cheng Chen, Yi-Jie Wei, Cai-Yi Ma, Ke-Jun Deng,*, Cheng-Bing Huang*. (2026) Food Volatile Organic Compounds Safety Monitoring: Structure-Guided Identification of Olfactory-Related Proteins. Food Science and Human Wellness, Accepted. (2024 IF: 7.4)
288. Changchun Wu, Xueqin Xie, Ziru Huang, Yuwei Zhou, Yushu Gou, Mengze Du*, Hao Lin*, Jian Huang*. (2026) PTBD: a machine learning-based non-invasive diagnostic model for pulmonary tuberculosis using large-scale blood transcriptomes. BMC Biology, doi:10.1186/s12915-026-02585-9. (2024 IF: 4.5)
287. Basharat Ahmad, Muhammad Hammad Musaddiq, Sebu Aboma Temesgen, Grace-Mercure Bakanina Kissanga, Huma Fida, Hao Lin, Ye-Chen Qi*. (2026) HybridGNN: A Graph Neural Network Approach for Human miRNA–Disease Association Prediction. Bioinformatics, doi:10.1093/bioinformatics/btag171. (2024 IF: 5.4)
286. Yi-Xuan Qi, Hao-Jiang Zhang, Hao-Xiang Tang, Zi-Xuan Zhang, Kai-Yuan Han, Zheng Zhang, Hui Ding*, Li Liu*, You-Yu Wang*. (2026) TF-loop: deciphering the transcription factor regulatory language for CTCF-mediated chromatin loop based on BERT. Briefings in Bioinformatics, 27(2): bbag162. (2024 IF: 7.7)
285. Changchun Wu, Huiyuan Qiao, Xianrun Pan, Hongyan Lin, Xueqin Xie, Mengze Du, Hao Lin*, Jian Huang*. (2026) Multidimensional cfRNA response modeling identifies a 5-gene pair signature for high-robust pulmonary tuberculosis diagnosis. iScience, 29(4): 115178. (2024 IF: 4.1)
284. Changchun Wu, Xueqin Xie, Ziru Huang, Hao Lin*, Jian Huang*. (2026) DPS-Tool: an online service platform for disease perturbation scoring. Frontiers of Computer Science , 20: 2011908. (2024 IF: 4.6)
283. Xueqin Xie, Changchun Wu, Ziru Huang, Yuwei Zhou, Jian Huang, Fuying Dao, Dan Yan, Kejun Deng, Hao Lyu*, Caiyi Ma*, Hao Lin*. (2026) Artificial intelligence-powered prediction of diabetic complications: from clinical data to molecular omics. Briefings in Bioinformatics, 27(1): bbag083. (2024 IF: 7.7)
282. Sebu Aboma Temesgen, Bakanina Kissanga Grace-Mercure, Basharat Ahmad, Yan-Ting Jin*, Li Liu*, Hao Lin*. (2026) Exploring Coding Sequence Length Distributions Across Taxonomic Kingdoms Based on Maximum Information Principle. Current Bioinformatics, 21: 82-90. (2024 IF: 2.9)
281. Yuduo Hao, Sijia Xie, Yijie Wei, Xiaoshuo Sun, Yu Xiao, Xueqin Xie, Kaiyuan Han, Ting Wang, Zhepeng Wang, Luqiang Zhang*, Hao Lyu*, Hao Lin*. (2026) Single-cell Aging Clocks: A Precision Tool for Dissecting and Targeting the Aging Process. Ageing Research Reviews, 115: 103040. (2024 IF: 12.4)
280. Zexu Zhou #，Lei Xie #，Xiaolong Li，Yijie Wei，Xinwei Luo，Feitong Hong，Sijia Xie，Hao Lyu，Fuying Dao，Chengbing Huang*，Hui Ding*, Huan Yang*. (2026) Aegis: A Transformer-based Deep Learning Framework for the Accurate Identification of Anticancer Peptides. BMC Biology, 24: 43. (2024 IF: 4.5)
279. Sicheng He, Cheng Chen, Xianrun Pan, Gaogao Xue, Yu Yang, Juan Feng, Hasan Zulfiqar*, Yang Zhang*, Kejun Deng*. (2026) CMsiRNAdb: a database of chemically modified SiRNA silencing efficiency for nucleic acid drug design. BMC Bioinformatics, 27: 33. (2024 IF: 3.3)
278. Chengzhi Xie, Feitong Hong, Yijie Wei, Sijia Xie, Xinwei Luo, Xiaolong Li, Wei Su, Xueqin Xie, Yuduo Hao, Hao Lyu, Hui Ding*, Huan Yang*, Fuying Dao*. (2026) PlantAMP: A fine-tuned protein large language model for plant antimicrobial peptide prediction. Plant Communications, 7(3): 101625. (2024 IF: 11.6)
277. Xinwei Luo, Sijia Xie, Feitong Hong, Xiaolong Li, Yijie Wei, Yuwei Zhou, Wei Su, Yuhe Yang, Lixia Tang, Fuying Dao, Peiling Cai, Hao Lin*, Hongyan Lai*, Hao Lyu*. (2026) From multi-omics to deep learning: advances in cfDNA-based liquid biopsy for multi-cancer screening. Biomarker Research, 14: 3. (2024 IF: 11.5)
276. Ting Wang#, Chenhao Zhang#, Yun Bai#, Yanhong Fu, Shaoqin Shen, Zhuo Liu, Kejun Deng*, Hao Lin*, Xiaoming Song*. (2025) A high-quality chromosome-level reference genome of Pulsatilla chinensis. Scientific Data, 13(1):162. (2024 IF: 6.9)
275. Yijie Wei, Feitong Hong, Sijia Xie, Xinwei Luo, Xiaolong Li, Fuying Dao, Kejun Deng, Hao Lin*, Hao Lyu*. (2025) Single-cell multi-omics in type 2 diabetes mellitus: revealing cellular heterogeneity and mechanistic insights. International Journal of Molecular Sciences, 26(22): 11005. (2024 IF: 4.9)
274. Hong-Qi Zhang†, Yi-Xuan Qi†, Huma Fida, Hao-Jiang Zhang, Muhammad Arif, Pei-Yu Zhao, Tanvir Alam, Ye-Chen Qi*, Xiao-Long Yu*, Ke-Jun Deng*. (2025) PCBert-Kla: An Efficient Prediction Method for Lysine Lactylation Sites Based on ProtBert and Fusion of Physicochemical Features. Briefings in Bioinformatics, 26(6): bbaf615. (2024 IF: 7.7)
273. Shang-Hua Liu, Hong-Qi Zhang, Ru-Ming Liu, Hong-Juan Zeng, Ke-Jun Deng, Dan Yan, Li-Xia Tang, Hao Lin*. (2025) Artificial Intelligence for Nucleic Acid Aptamers: Methods and Applications(面向核酸适配体的人工智能方法与应用). Progress in Biochemistry and Biophysics, 52(11): 2820-2841. (2024 IF: 0.2)
272. Basharat Ahmad, Cai-Yi Ma, Grace-Mercure Bakanina Kissanga, Sebu Aboma Temesgen, Huma Fida, Hao Lin*, Cheng-Bing Huang*. (2025) Unveiling the Therapeutic Mechanisms of Chinese Herbs in Heart Failure: Integrating Network Pharmacology, Molecular Docking, and Simulation Analysis. Pharmaceuticals, 18(11): 1648. (2024 IF: 4.8)
271. Wei Su, Yuhe Yang, Yafei Zhao, Shishi Yuan, Xueqin Xie, Yuduo Hao, Hongqi Zhang, Dongxin Ye, Hao Lyu*, Hao Lin*. (2025) iPro-MP: a BERT-based model for the prediction of multiple prokaryotic promoters. Genome Biology, 26(1): 353. (2024 IF: 9.4)
270. Feitong Hong, Kaiyuan Han, Yuduo Hao, Wei Su, Xueqin Xie, Xiaolong Li, Qiuming Chen, Yijie Wei, Xinwei Luo, Sijia Xie, Benjamin Lebeau, Crystal Ling, Hao Lv, Li Liu*, Hao Lin*, Fuying Dao*. (2025) Navigating the 3D genome at single-cell resolution: techniques, computation, and mechanistic landscapes. Briefings in Bioinformatics, 26(5): bbaf520. (2024 IF: 7.7)
269. Sebu Aboma Temesgen, Bakanina Kissanga Grace-Mercure, Basharat Ahmad, Huma Fida, Hao Lin*, Li Liu*, Kun Yang*. (2025) tRNA is a Molecular Thermometer of Species' Optimal Growth Temperature. International Journal of Biological Macromolecules, 322: 146849. (2024 IF: 8.5)
268. Feitong Hong, Qiuming Chen, Xinwei Luo, Sijia Xie, Yijie Wei, Xiaolong Li, Kexin Li, Benjamin Lebeau, Crystal Ling, Fuying Dao, Hao Lin, Lixia Tang, Mi Yang*, Hao Lv*. (2025) A Multi-Omics Integration Framework With Automated Machine Learning Identifies Peripheral Immune-Coagulation Biomarkers for Schizophrenia Risk Stratification. International Journal of Molecular Sciences, 26(15): 7640. (2024 IF: 4.9)
267. Xueqin Xie, Changchun Wu, Yuhe Yang, Wei Su, Fuying Dao, Jian Huang, Zheng Shi, Hao Lyu*, Hao Lin*. (2025) Interpretable machine learning-guided single-cell mapping deciphers multi-lineage pancreatic dysregulation in type 2 diabetes. Cardiovascular Diabetology, 24:300. (2024 IF: 10.6)
266. Chengzhi Xie, Yijie Wei, Xinwei Luo, Huan Yang, Hongyan Lai, Fuying Dao*, Juan Feng*, Hao Lv*. (2025) NeXtMD: A New Generation of Machine Learning and Deep Learning Stacked Hybrid Framework for Accurate Identification of Anti-Inflammatory Peptides. BMC Biology, 23(1): 212. (2024 IF: 4.5)
265. Xueqin Xie, Changchun Wu, Yixuan Qi, Shang-Hua Liu, Jian Huang, Hao Lyu*, Fuying Dao*, Hao Lin*. (2025) BertADP: A fine-tuned protein language model for anti-diabetic peptide prediction. BMC Biology, 23: 210. (2024 IF: 4.5)
264. Zahoor Ahmed, Kiran Shahzadi, Rui Li, Yu-Qing Jiang, Yan-Ting Jin*, Muhammad Arif*, Juan Feng*. (2025) An artificial intelligence-based approach for identifying the proteins regulating liquid-liquid phase separation. Briefings in Bioinformatics, 26(4): bbaf313. (2024 IF: 7.7)
263. Ting Wang, Mengke Li, Xu Tang, Yao He, Qing Fang, Tingting Fan, Shishi Liu, Kejun Deng*. (2025) Deciphering the role of a novel basic helix-loop-helix (bHLH) transcription factor: SmbHLH125 in Salvia miltiorrhiza secondary metabolism through transcriptomic and metabolomic insights. International Journal of Biological Macromolecules, 318: 145067. (2024 IF: 8.5)
262. Xueqin Xie, Changchun Wu, Fuying Dao, Kejun Deng, Dan Yan, Jian Huang*, Hao Lyu*, Hao Lin*. (2025) scRiskCell: A single-cell framework for quantifying islet risk cells and their adaptive dynamics in type 2 diabetes. iMeta, 2025: e70060. (2024 IF: 33.2)
261. Tianyu Zeng, Yang Wang, Bo Tang, Haipeng Cui, Deqin Tang, Hong Ding, Yutong Zhang, Peiling Cai, Yamei Luo*, Hao Lin*, Qingxi Guo*, Hua Tang*. (2025) Colorectal Liver Metastasis Pathomics Model: Integrating Single-Cell and Spatial Transcriptome Analysis With Pathomics for Predicting Liver Metastasis in Colorectal Cancer. Modern Pathology, 38(9): 100805. (2024 IF: 5.5)
260. Hong-Qi Zhang, Xin-Ran Lin, Yan-Ting Wang, Wen-Fang Pei, Guang-Ji Ma, Ze-Xu Zhou, Ke-Jun Deng*, Dan Yan*, Tian-Yuan Liu*. (2025) EDS-Kcr: Deep supervision based on large language model for identifying protein lysine crotonylation sites across multiple species. Briefings in Bioinformatics, 26(3), bbaf249. (2024 IF: 7.7)
259. Hongqi Zhang, Shanghua Liu, Wei Su, Xueqin Xie, Junwen Yu, Fuying Dao, Mi Yang*, Hao Lyu*, Hao Lin*. (2025) NeuroScale: Evolutional Scale-Based Protein Language Models Enable Prediction of Neuropeptides. BMC Biology, 23(1): 142. (2024 IF: 4.5)
258. Fuying Dao, Benjamin Lebeau, Crystal Chia Yin Ling, Mi Yang, Xueqin Xie, Melissa Jane Fullwood*, Hao Lin*, Hao Lyu*. (2025) RepliChrom: Interpretable machine learning predicts cancer-associated enhancer-promoter interactions using DNA replication timing. iMeta, 2025: e70052. (2024 IF: 33.2)
257. Sebu Aboma Temesgen, Basharat Ahmad, Bakanina Kissanga Grace-Mercure, Minghao Liu, Li Liu, Hao Lin, Kejun Deng*. (2025) Exploring species taxonomic kingdom using information entropy and nucleotide compositional features of coding sequences based on machine learning methods. Methods, 240: 165-179. (2024 IF: 4.3)
256. Grace-Mercure Bakanina Kissanga, Sebu Aboma Temesgen, Basharat Ahmad, Huma Fida, Maha A.Thafar, Somayah Albaradei, Juan Feng*, Muhammad Arif*, Yan-Ting Jin*. (2025) Machine Learning-Based Classification of Viral Membrane Proteins. Current Proteomics, 22(1): 100003. (2024 IF: 0.5)
255. Hongyan Lai, Diyu Luo, Mi Yang, Tao Zhu, Huan Yang, Xinwei Luo, Yijie Wei, Sijia Xie, Feitong Hong, Kunxian Shu*, Fuying Dao*, Hui Ding*. (2025) PBertKla: a protein large language model for predicting human lysine lactylation sites. BMC Biology, 23(1): 95. (2024 IF: 4.5)
254. Changchun Wu; Xueqin Xie; Xin Yang; Mengze Du; Hao Lin*; Jian Huang*. (2025) Applications of gene pair methods in clinical research: advancing precision medicine. Molecular Biomedicine, 6(1):22. (2024 IF: 10.1)
253. Sijia Xie, Xinwei Luo, Feitong Hong, Yijie Wei, Yuduo Hao, Xueqin Xie, Xiaolong Li, Guangbo Xie*, Fuying Dao*, Hao Lyu*. (2025) Towards Precision Aging Biology: Single-Cell Multi-Omics and Advanced AI-Driven Strategies. Aging and Disease, 17(2): 907-926. (2024 IF: 6.9)
252. Hong-Qi Zhang, Shang-Hua Liu, Jun-Wen Yu, Rui Li, Dong-Xin Ye, Yan-Ting Jin*, Cheng-Bing Huang*, Ke-Jun Deng*. (2025) DrugPred: An Ensemble Learning Model Based on ESM2 for Predicting Potential Druggable Proteins. Future Generation Computer Systems, 170: 107801. (2024 IF: 6.1)
251. Hong-Qi Zhang, Muhammad Arif, Maha A. Thafar, Somayah Albaradei, Peiling Cai, Yang Zhang*, Hua Tang*, Hao Lin*. (2025) PMPred-AE: a computational model for the Detection and Interpretation of Pathological Myopia based on artificial intelligence. Frontiers in Medicine, 12: 1529335. (2024 IF: 3.0)
250. Yu-Xian Liu*, Jia-Le Song, Xiao-Ming Li, Hao Lin*, Yan-Ni Cao*. (2025) Identification of eight histone methylation modification regulators associated with breast cancer prognosis. IET Systems Biology, 19: e70012. (2024 IF: 1.9)
249. Hao Lin*, Hao Lv*, Fuying dao*. (2025) Editorial: Advances in machine learning for epigenetics and biomedical applications. Methods, 235: 53–54. (2024 IF: 4.3)
248. Rui Li, Junwen Yu, Dongxin Ye, Shanghua Liu, Hongqi Zhang, Hao Lin, Juan Feng, Kejun Deng*. (2025) Conotoxins: Classification, Prediction, and Future Directions in Bioinformatics. Toxins, 17:78. (2024 IF: 4.0)
247. Fuying Dao, Xueqin Xie, Hongqi Zhang, Zhengxing Guan, Changchun Wu, Wei Su, Hongyan Lai, Dong Gao, Yuhe Yang, Yang Zhang, Lin Ning, Shi-Hao Li, Yuduo Hao, Benjamin Lebeau, Crystal Ling Chia Yin, Jian Huang, Melissa Jane Fullwood*, Hao Lin*, Hao Lv*. (2025) PlantEMS: A Multi-Omics Database for Plant Epigenetic Modification Sites. Plant Communications, , 6(4):101228. (2024 IF: 11.6)
246. Dong-Xin Ye, Jun-Wen Yu, Rui Li, Yu-Duo Hao, Tian-Yu Wang, Hui Yang*, Hui Ding*. (2025) The prediction of Recombination Hotspot Based on Automated Machine Learning. Journal of Molecular Biology, 437(6): 168653. (2023 IF: 4.5)
245. Cheng-Yan Wu, Zhi-Xue Xu, Nan Li, Dan-Yang Qi, Hong-Ye Wu*, Hui Ding*, Yan-Ting Jin*. (2025) Predicting cyclins based on key features and machine learning methods. Methods, 234: 112-119. (2023 IF: 4.3)
244. Zhao-Yue Zhang&, Zi-Jie Sun&, Dong Gao, Yu-Duo Hao, Hao Lin*, Fen Liu*. (2024) Excavation of Gene Markers Associated with Pancreatic Ductal Adenocarcinoma Based on Interrelationships of Gene Expression. IET Systems Biology, 18(6): 261-270. (2023 IF: 2.3)
243. Hao Lin*. (2024) Artificial Intelligence with Great Potential in Medical Informatics: A Brief Review. Medinformatics, 1(1): 2-9.
242. Hao Lin*. (2024) Inaugural Editorial: Editorial about the Founding of Medinformatics. Medinformatics, 1(1): 1.
241. Hongyan Lai, Tao Zhu, Sijia Xie, Xinwei Luo, Feitong Hong, Diyu Luo, Fuying Dao, Hao Lin, Kunxian Shu*, Hao Lv*. (2024) Empirical Comparison and Analysis of Artificial Intelligence-Based Methods for Identifying Phosphorylation Sites of SARS-CoV-2 Infection. International Journal of Molecular Sciences, 25(24):13674. (2023 IF: 4.9)
240. Yu-Xian Liu*, Jia-Le Song, Xiao-Ming Li, Hao Lin*, Yan-Ni Cao*. (2024) Identification of target genes co-regulated by four key histone modifications of five key regions in hepatocellular carcinoma. Methods, 231: 165-177. (2023 IF: 4.2)
239. Yuduo Hao, Kaiyuan Han, Ting Wang, Junwen Yu, Hui Ding*, Fuying Dao*. (2024) Exploring the potential of epigenetic clocks in aging research. Methods, 231: 37-44. (2023 IF: 4.2)
238. Shanghua Liu, Tianyu Shi, Junwen Yu, Rui Li, Hao Lin*, Kejun Deng*. (2024) Research on Bitter Peptides in the Field of Bioinformatics: A Comprehensive Review. International Journal of Molecular Sciences, 25: 9844. (2023 IF: 4.9)
237. Yong Li, Ru Gao, Shan Liu, Hongqi Zhang, Hao Lv*, Hongyan Lai*. (2024) PhosBERT: A self-supervised learning model for identifying phosphorylation sites in SARS-CoV-2-infected human cells. Methods, 230: 140-146. (2023 IF: 4.2)
236. Zahoor Ahmed, Kiran Shahzadi, Sebu Aboma Temesgen, Basharat Ahmad, Xiang Chen, Lin Ning, Hasan Zulfiqar*, Hao Lin*, Yan-Ting Jin*. (2024) A protein pre-trained model-based approach for the identification of the liquid-liquid phase separation (LLPS) proteins. International Journal of Biological Macromolecules, 277: 134146. (2023 IF: 7.7)
235. Xueqin Xie &, Changchun Wu &, Caiyi Ma, Dong Gao, Wei Su, Jian Huang, Kejun Deng*, Dan Yan*, Hao Lin*. (2024) Detecting key genes relative expression orderings as biomarkers for machine learning-based intelligent screening and analysis of Type 2 Diabetes Mellitus. Expert Systems With Applications, 255: 124702. (2023 IF: 7.5)
234. Yan-Ting Jin#, Yang Tan#, Zhong-Hua Gan, Yu-Duo Hao, Tian-Yu Wang, Hao Lin*, Bo Tang*. (2024) Identification of DNase I Hypersensitive Sites in the Human Genome by Multiple Sequence Descriptors. Methods, 229: 125-132. (2023 IF: 4.2)
233. Yi Xu#, Tianyuan Liu#, Yu Yang, Juanjuan Kang, Liping Ren*, Hui Ding*, Yang Zhang*. (2024) ACVPred: Enhanced Prediction of Anti-Coronavirus Peptides by Transfer Learning combined with data augmentation. Future Generation Computer Systems, 160: 305-315. (2022 IF: 7.5)
232. Zahoor Ahmed, Kiran Shahzadi, Yanting Jin, Rui Li, Biffon Manyura Momanyi, Hasan Zulfiqar*, Lin Ning*, Hao Lin*. (2024) Identification of RNA-dependent liquid-liquid phase separation proteins using an artificial intelligence strategy. Proteomics, 24(21-22):e2400044. (2022 IF: 3.4)
231. Tianyuan Liu, Huiyuan Qiao, Zixu Wang, Xinyan Yang, Xianrun Pan, Yu Yang, Xiucai Ye*, Tetsuya Sakurai, Hao Lin*, Yang Zhang*. (2024) codLncScape provides a self-enriching framework for systematic collection and exploration of coding lncRNAs. Advanced Science, 11: e2400009. (2022 IF: 15.1)
230. Zhi-Feng Gu, Yu-Duo Hao, Tian-Yu Wang, Pei-Ling Cai, Yang Zhang, Ke-Jun Deng, Hao Lin*, Hao Lv*. (2024) Prediction of blood-brain barrier penetrating peptides based on data augmentation with Augur. BMC Biology, 22(1): 86. (2022 IF: 5.4)
229. Grace-Mercure Bakanina Kissanga, Hasan Zulfiqar, Shenghan Gao, Sophyani Banaamwini Yussif, Biffon Manyura Momanyi, Lin Ning, Hao Lin*, Cheng-Bing Huang*. (2024) E-MuLA: An Ensemble Multi-Localized Attention Feature Extraction Network for Viral Protein Subcellular Localization. Information, 15: 163. (2022 IF: 3.1)
228. Zhao-Yue Zhang, Zheng Zhang, Xiucai Ye*, Tetsuya Sakurai, Hao Lin*. (2024) A BERT-based model for the prediction of lncRNA subcellular localization in Homo sapiens. International Journal of Biological Macromolecules, 265(Pt 1): 130659. (2022 IF: 8.025)
227. Tianyuan Liu, Junyang Huang, Delun Luo, Liping Ren, Lin Ning, Jian Huang*, Hao Lin*, Yang Zhang*. (2024) Cm-siRPred: Predicting chemically modified siRNA efficiency based on multi-view learning strategy. International Journal of Biological Macromolecules, 264(Pt 2): 130638. (2022 IF: 8.025)
226. Jia’an Qin &, Yuhe Yang &, Chao Ai &, Zhaoshuai Ji, Wei Chen, Yingchang Song, Jiayu Zeng, Meili Duan, Wenjie Qi, Shutian Zhang, Zhuoling An, Yang Lin, Sha Xu, Kejun Deng*, Hao Lin*, Dan Yan*. (2024) Antibiotic combinations prediction based on machine learning to multicenter clinical data and drug interaction correlation. International journal of Antimicrobial Agents, 63(5): 107122. (2022 IF: 10.8)
225. Xiao-Wei Liu†, Han-Lin Li†, Cai-Yi Ma, Tian-Yu Shi, Tian-Yu Wang, Dan Yan, Hua Tang*, Hao Lin*, Ke-Jun Deng*. (2024) Predicting the role of the human gut microbiome in Type 1 Diabetes using machine-learning methods. Briefings in Functional Genomics, elae004. (2022 IF: 4.0)
224. Hong-Qi Zhang#, Shang-Hua Liu#, Rui Li, Jun-Wen Yu, Dong-Xin Ye, Shi-Shi Yuan, Hao Lin*, Cheng-Bing Huang*, Hua Tang*. (2024) MIBPred: Ensemble Learning-Based Metal Ion-Binding Protein Classifier. ACS Omega, 9: 8439–8447. (2022 IF: 4.1)
223. Hasan Zulfiqar#, Zhiling Guo#, Ramala Masood Ahmad, Zahoor Ahmed, Peiling Cai, Xiang Chen, Yang Zhang*, Hao Lin*, Zheng Shi*. (2024) Deep-STP: A Deep Learning-Based Approach to Predict Snake Toxin Proteins by Using Word Embeddings. Frontiers in Medicine, 10: 1291352. (2022 IF: 3.9)
222. Yang Zhang, Caiqi Liu, Mujiexin Liu, Tianyuan Liu, Hao Lin*, Chengbing Huang*, Lin Ning*. (2024) Attention is all you need: Utilizing attention in AI-enabled drug discovery. Briefings in Bioinformatics, 25(1): bbad467. (2022 IF: 9.5)
221 Dong Gao&, Liping Ren&, Yu-Duo Hao, Nalini Schaduangrat, Xiao-Wei Liu, Shi-Shi Yuan, Yu-He Yang, Yan Wang*, Watshara Shoombuatong*, Hui Ding*. (2024) The role of ncRNA regulatory mechanisms in diseases--case on gestational diabetes. Briefings in Bioinformatics, 25(1): bbad489. (2022 IF: 9.5)
220. Wenfei Liao*, Hao Lin. (2024) Urbanisation drives inter- and intraspecific variation in flight-related morphological traits of aquatic insects at differentlandscape scales. Insect Conservation and Diversity, 17: 287-303. (2022 IF: 3.5)
219. Yang Zhang, Xianrun Pan, Tianyu Shi, Zhifeng Gu, Zhaochang Yang, Minghao Liu, Yi Xu,Yu Yang, Liping Ren, Xiaoming Song*, Hao Lin*, Kejun Deng*. (2024) P450Rdb: A manually curated database of reactions catalyzed by cytochrome P450 enzymes. Journal of Advanced Research, 63: 35–42. (2023 IF: 11.4)
218. Cai-Yi Ma, Ya-Mei Luo, Tian-Yu Zhang, Yu-Duo Hao, Xue-Qin Xie, Xiao-Wei Liu, Xiao-Lei Ren, Xiao-Lin He, Yu-Mei Han, Ke-Jun Deng, Dan Yan, Hui Yang*, Hua Tang*, Hao Lin*. (2024) Predicting coronary heart disease in Chinese diabetics using machine learning. Computers in Biology and Medicine, 169: 107952. (2022 IF: 7.7)
217. Biffon Manyura Momanyi; Yu-Wei Zhou; Bakanina Kissanga Grace-Mercure; Sebu Aboma Temesgen; Ahmad Basharat; Lin Ning; Lixia Tang; Hui Gao*; Hao Lin*; Hua Tang*. (2024) SAGESDA: Multi-GraphSAGE Networks for Predicting SnoRNA-Disease Associations. Current Research in Structural Biology, 7:100122. (2022 IF: 2.8)
216. Yan Lin*, Jia-Shu Wang, Xiao-Wei Liu, Xue-Qin Xie, De Wu, Junjie Zhang, Hui Ding*. (2024) A computational model to identify fertility-related proteins using sequence information. Frontiers of Computer Science, 18(1): 181902. (2022 IF: 4.2)
215. Xueqin Xie, Changchun Wu, Yuduo Hao, Tianyu Wang, Yuhe Yang, Peiling Cai, Yang Zhang, Jian Huang, Kejun Deng*, Dan Yan*, Hao Lin*. (2023) Benefits and risks of drug combination therapy for diabetes mellitus and its complications: A comprehensive review. Frontiers in Endocrinology, 14:1301093. (2022 IF: 5.2)
214. Jie Gao, Yongxian Feng, Yan Yang, Yuetong Shi, Junjie Liu, Hao Lin* and Lirong Zhang*. (2023) Identification of Key DNA methylation sites related to differentially expressed genes in Lung squamous cell carcinoma. Computers in Biology and Medicine, 167: 107615. (2022 IF: 7.7)
213. Xidan Zou&, Liping Ren&, Peiling Cai, Yang Zhang, Hui Ding, Kejun Deng, Xiaolong Yu*, Hao Lin*, Chengbing Huang*. (2023) Accurately Identifying Hemagglutinin Using Sequence Information and Machine Learning Methods. Frontiers in Medicine, 10:1281880. (2022 IF: 3.9)
212. Hui Yang, Ya-Mei Luo, Cai-Yi Ma, Tian-Yu Zhang, Tao Zhou, Xiao-Lei Ren, Xiao-Lin He, Ke-Jun Deng, Dan Yan, Hua Tang*, Hao Lin*. (2023) A Gender Specific Risk Assessment of Coronary Heart Disease Based on Physical Examination Data. npj Digital Medicine, 6: 136. (2022 IF: 15.2)
211. Xiao-Wei Liu, Tian-Yu Shi, Dong Gao, Cai-Yi Ma, Hao Lin*, Dan Yan*, Kejun Deng*. (2023) iPADD: A Computational Tool for Predicting Potential Antidiabetic Drugs Using Machine Learning Algorithms. Journal of Chemical Information and Modeling, 63, 4960−4969. (2022 IF: 5.6)
210. Wen Zhu, Shi-Shi Yuan, Jian Li, Cheng-Bing Huang, Hao Lin*, Bo Liao*. (2023) A first computational frame for recognizing heparin-binding protein. Diagnostics, 13: 2465. (2021 IF: 3.6)
209. Biffon Manyura Momanyi, Hasan Zulfiqar, Bakanina Kissanga Grace-Mercure, Zahoor Ahmed, Hui Ding*, Hui Gao*, Fen Liu*. (2023) CFNCM: Collaborative filtering Neighborhood-based Model for Predicting miRNA-disease Associations. Computers in Biology and Medicine, 163: 107165 (2021 IF: 6.698)
208. Wenxia Su, Xiaojun Qian, Keli Yang, Hui Ding, Chengbing Huang*, Zhao-Yue Zhang*. (2023) Recognition of outer membrane proteins using multiple feature fusion. Frontiers in Genetics, 14: 1211020. (2021 IF: 4.772)
207. Yu-He Yang, Cai-Yi Ma, Dong Gao, Xiao-Wei Liu, Shi-Shi Yuan, Hui Ding*. (2023) i2OM: Toward a better prediction of 2′-O-methylation in human RNA. International Journal of Biological Macromolecules, 239: 124247. (2021 IF: 8.025)
206. Zhao-Yue Zhang*, Xiao-Wei Liu, Cai-Yi Ma, Yun Wu*. (2023) Identification of secretory proteins in Sus scrofa using machine learning method. Current Bioinformatics, 18(10): 783-791. (2021 IF: 4.850)
205. Yan Lin*, Meili Sun, Junjie Zhang, Mingyan Li, Keli Yang, Chengyan Wu, Hasan Zulfiqar*, Hongyan Lai*. (2023) Computational identification of promoters in Klebsiella Aerogenes by using support vector machine. Frontiers in Microbiology, 14:1200678. (2021 IF: 6.064)
204. Hasan Zulfiqar*, Ahmed Zahoor, Bakanina Kissanga Grace-Mercure, Farwa Hassan, Zhao-Yue Zhang*, Fen Liu*. (2023) Computational prediction of promotors in Agrobacterium Tumefaciens Strain C58 by using machine learning technique. Frontiers in Microbiology, 14: 1170785. (2021 IF: 6.064)
203. Hasan Zulfiqar#, Zhiling Guo#, Bakanina Kissanga Grace-Mercure, Zhao-Yue Zhang, Hui Gao*, Hao Lin*, Yun Wu*. (2023) Empirical Comparison and Recent Advances of Computational Prediction of Hormone Binding Proteins Using Machine Learning Methods. Computational and Structural Biotechnology Journal, 21: 2253-2261. (2021 IF: 6.155)
202. Wenxia Su, Shuyi Deng, Zhifeng Gu, Keli Yang, Hui Ding*, Hui Chen*, Zhao-Yue Zhang*. (2023) Prediction of apoptosis protein subcellular location based on amphiphilic pseudo-amino acid composition. Frontiers in Genetics, 14: 1157021. (2021 IF: 4.772)
201. Xiang Feng, Hongqi Zhang, Hao Lin*, Haixia Long*. (2023) Single-cell RNA-seq Data Analysis based on Directed Graph Neural Network. Methods, 211: 48–60. (2021 IF: 4.647)
200. Li Liu, Kaiyuan Han, Huimin Sun, Lu Han, Dong Gao, Qilemuge Xi, Lirong Zhang*, Hao Lin*. (2023) A comprehensive review of bioinformatics tools for chromatin loop calling. Briefings in Bioinformatics, bbad072. (2021 IF: 13.994)
199. Yu-Fei Zhang&, Yu-Hao Wang&, Zhi-Feng Gu, Xian-Run Pan, Jian Li, Hui Ding*, Yang Zhang*, Ke-Jun Deng*. (2023) Bitter-RF: A Random forest machine model for recognizing bitter peptides. Frontiers in Medicine, 10:1052923. (2021 IF: 5.058)
198. Fu-Ying Dao, Meng-Lu Liu, Wei Su, Hao Lv, Zhao-Yue Zhang, Hao Lin*, Li Liu*. (2023) AcrPred: A hybrid optimization with enumerated machine learning algorithm to predict Anti-CRISPR proteins. International Journal of Biological Macromolecules, 228: 706-714. (2021 IF: 8.025)
197. Wei Su, Xue-Qin Xie, Xiao-Wei Liu, Dong Gao, Cai-Yi Ma, Hasan Zulfiqar, Hui Yang, Hao Lin*, Xiao-Long Yu*, Yan-Wen Li*. (2023) iRNA-ac4C: a novel computational method for effectively detecting N4-acetylcytidine sites in human mRNA. International Journal of Biological Macromolecules, 277: 1174-1181. (2021 IF: 8.025)
196. Yu-Hao Wang&, Yu-Fei Zhang& Ying Zhang&, Zhi-Feng Gu, Zhao-Yue Zhang, Hao Lin*, Ke-Jun Deng*. (2022) Identification of adaptor proteins using the ANOVA feature selection technique. Methods, 208: 42-47. (2021 IF: 4.647)
195. Fu-Ying Dao, Hao Lv, Melissa J. Fullwood*, Hao Lin*. (2022) Accurate Identification of DNA Replication Origin by Fusing Epigenomics and Chromatin Interaction Information. Research, 2022: ID 9780293. (2021 IF: 11.036)
194. Jianqiang Xiao&, Mujiexin Liu&, Qinlai Huang, Zijie Sun, Lin Ning, Junguo Duan, Siquan Zhu, Jian Huang, Hao Lin*, Hui Yang*. (2022) Analysis and modeling of Myopia-Related Factors based on Questionnaire survey. Computers in Biology and Medicine, 150: 106162. (2021 IF: 6.698)
193. Yuhe Yang, Dong Gao, Xueqin Xie, Jiaan Qin, Jian Li, Hao Lin*, Dan Yan*, Kejun Deng*. (2022) DeepIDC: A prediction framework of injectable drug combination based on heterogeneous information and deep learning. Clinical Pharmacokinetics, 61: 1749–1759. (2021 IF: 5.577)
192. Lu-Qiang Zhang*, Hao Yang, Jun-Jie Liu, Li-Rong Zhang, Yu-Duo Hao, Jun-Mei Guo, Hao Lin*. (2022) Recognition of driver genes with potential prognostic implications in lung adenocarcinoma based on H3K79me2. Computational and Structural Biotechnology Journal, 20: 5535–5546. (2021 IF: 6.155)
191. Zhao-Yue Zhang, Lin Ning, Xiucai Ye*, Yu-He Yang, Yasunori Futamura, Tetsuya Sakurai, Hao Lin*. (2022) iLoc-miRNA: Extracellular/Intracellular miRNA Prediction Using Deep BiLSTM with Attention Mechanism. Briefings in Bioinformatics, bbac395. (2021 IF: 13.994)
190. Shi-Shi Yuan, Dong Gao, Xue-Qin Xie, Cai-Yi Ma, Wei Su, Zhao-Yue Zhang*, Yan Zheng*, Hui Ding*. (2022) IBPred: a sequence-based predictor for identifying ion binding protein in phage. Computational and Structural Biotechnology Journal, 20: 4942–4951. (2021 IF: 6.155)
189. Zahoor Ahmed, Hasan Zulfiqar, Lixia Tang, Hao Lin*. (2022) A statistical analysis of the sequence and structure of thermo-philic and non-thermophilic proteins. International Journal of Molecular Sciences, 23(17): 10116. (2021 IF: 6.208)
188. Xiaoming Song, Nan Li, Yingchao Zhang, Yi Liang, Rong Zhou, Tong Yu, Shaoqin Shen, Shuyan Feng, Yu Zhang, Xiuqing Li, Hao Lin*, Xinyin Wang*. (2022) Transcriptomics and genomics analysis uncover the differentially expressed chlorophyll and carotenoid related genes in celery. International Journal of Molecular Sciences, 23: 8986. (2021 IF: 6.208)
187. Zijie Sun&, Qinlai Huang&, Yuhe Yang, Shihao Li, Hao Lv, Yang Zhang, Hao Lin*, Lin Ning*. (2022) PSnoD: identifying potential snoRNA-disease associations based on bounded nuclear norm regularization. Briefings in Bioinformatics, 23(4): bbac240.(2021 IF: 13.994)
186. Hao Lv, Fu-Ying Dao, Hao Lin*. (2022) DeepKla: an attention mechanism-based deep neural network for protein lysine lactylation site prediction. iMeta, 1(1):e11.
185. Hasan Zulfiqar, Zi-Jie Sun, Qin-Lai Huang, Shi-Shi Yuan, Hao Lv, Fu-Ying Dao, Hao Lin*, Yan-Wen Li*. (2022) Deep-4mCW2V: A sequence-based predictor to identify N4-methylcytosine sites in Escherichia coli. Methods, 203: 558-563. (2021 IF: 4.647) (ESI)
184. Fu-Ying Dao, Hao Lv, Zhao-Yue Zhang, Hao Lin*. (2022) BDselect: a package for k-mer selection based on binomial distribution. Current Bioinformatics, 17(3): 238-244(7). (2021 IF: 4.850)
183. Yi-Wei Zhao, Shihua Zhang*, Hui Ding*. (2022) Recent development of machine learning methods in sumoylation sites prediction. Current Medicinal Chemistry, 29(5): 894-907. (2021 IF: 4.740)
182. Yu-He Yang, Jia-Shu Wang, Shi-Shi Yuan, Meng-Lu Liu, Wei Su, Hao Lin*, Zhao-Yue Zhang*. (2021) A Survey for Predicting ATP Binding Residues of Proteins Using Machine Learning Methods. Current Medicinal Chemistry, 29(5): 789-806. (2021 IF: 4.740)
181. Cassandra Hunt, Sandra Montgomery, Joshua William Berkenpas, Noel Sigafoos, John Christian Oakley, Jacob Espinosa, Nicola Justice, Kiyomi Kishaba, Kyle Hippe, Dong Si, Jie Hou, Hui Ding*, Renzhi Cao* (2022) Recent Progress of Machine Learning in Gene Therapy. Current Gene Therapy, 22(2):132-143. (2021 IF: 4.676)
180. Zahoor Ahmed, Hasan Zulfiqar, Abdullah Aman Khan, Ijaz Gul, Fuying Dao, Zhao-Yue Zhang*, Xiao-Long Yu*, Lixia Tang*. (2022) iThermo: a sequence-based model for identifying thermophilic proteins using a multi-feature fusion strategy. Frontiers in Microbiology, 13: 790063. (2021 IF: 6.064)
179. Hasan Zulfiqar, Zahoor Ahmed, Cai-Yi Ma, Rida Sarwar Khan, Bakanina Kissanga Grace-Mercure, Zhao-Yue Zhang*, Xiao-Long Yu*. (2022) Comprehensive Prediction of Lipocalin Proteins Using Artificial Intelligence Strategy. Frontiers in Bioscience-Landmark, 27(3): 084. (2021 IF: 3.115)
178. Yu-Mei Han&, Hui Yang&, Qin-Lai Huang, Zi-Jie Sun, Ming-Liang Li, Jing-Bo Zhang, Ke-Jun Deng, Shuo Chen*, Hao Lin*. (2022) Risk prediction of diabetes and pre-diabetes based on physical examination data. Mathematical Biosciences and Engineering, 19(4): 3597-3608. (2021 IF: 2.194)
177. Hasan Zulfiqar, Qin-Lai Huang, Hao Lv, Zi-Jie Sun, Fu-Ying Dao, Hao Lin*. (2022) Deep-4mCGP: A Deep Learning Approach to Predict 4mC Sites in Geobacter pickeringii by Using Correlation-Based Feature Selection Technique. International Journal of Molecular Sciences, 23(3), 1251. (2021 IF: 6.208)
176. Hongfei Li, Yue Gong, Yifeng Liu, Hao Lin*, Guohua Wang*. (2022) Detection of transcription factors binding to methylated DNA by deep recurrent neural network. Briefings in Bioinformatics, 23(1): bbab533. (2021 IF: 13.994)
175. Lirong Zhang, Yanchao Yang, Lu Chai, Qianzhong Li, Junjie Liu*, Hao Lin*, Li Liu*. (2022) A deep learning model to identify gene expression level using co-binding transcription factor signals. Briefings in Bioinformatics, 23(1): bbab501. (2021 IF: 13.994)
174. Hao Lv&, Yang Zhang&, Jia-Shu Wang, Shi-Shi Yuan, Zi-Jie Sun, Fu-Ying Dao, Zheng-Xing Guan, Hao Lin*, Ke-Jun Deng*. (2022) iRice-MS: an integrated XGBoost model for detecting multi-type post-translational modification sites in rice. Briefings in Bioinformatics, 23(1): bbab486. (2021 IF: 13.994)
173. Mujiexin Liu, Hui Chen, Dong Gao, Cai-Yi Ma, Zhao-Yue Zhang*. (2022) Identification of Helicobacter pylori membrane proteins using sequence-based features. Computational and Mathematical Methods in Medicine, ID 7493834. (2021 IF: 2.809)
172. Zhao-Yue Zhang, Zi-Jie Sun, Yu-He Yang, Hao Lin* (2022) Towards a better prediction of subcellular location of long non-coding RNA. Frontiers of Computer Science, 16(5): 165903. (2021 IF: 2.669)
171. Tianyu Cui, Yiying Dou, Puwen Tan, Zhen Ni, Tianyuan Liu, Duolin Wang, Yan Huang, Kaican Cai, Xiaoyang Zhao, Dong Xu*, Hao Lin*, Dong Wang*. (2022) RNALocate v2.0: an updated resource for RNA Subcellular Localization with increased coverage and annotation. Nucleic Acids Research, 50(D1):D333-D339. (2021 IF: 19.160)
170. Hasan Zulfiqar, Fu-Ying Dao, Hui Yang, Hao Lv, Peng Zhou, Wei Chen*, Hao Lin* (2021) Identification of Potent Inhibitors against SARS-Cov-2 through Computational Drug Repurposing Study. Current Bioinformatics, 16(10): 1320-1327(8). (2020 IF: 3.543)
169. Hao Lv, Lei Shi, Joshua William Berkenpas, Fu-Ying Dao, Hasan Zulfiqar, Hui Ding, Yang Zhang*, Liming Yang*, Renzhi Cao*. (2021) Application of artificial intelligence and machine learning for COVID-19 drug discovery and vaccine design. Briefings in Bioinformatics, 22(6): bbab320. (2020 IF: 11.622)
168. Hao Lv, Fu-Ying Dao, Hasan Zulfiqar, Hao Lin*. (2021) DeepIPs: comprehensive assessment and computational identification of phosphorylation site of SARS-CoV-2 infection using a deep learning-based approach. Briefings in Bioinformatics, 22(6): bbab244. (2020 IF: 11.622)
167. Wangren Qiu*, Zhe Lv, Xuan Xiao*, Shuai Shao, Hao Lin*. (2021) EMCBOW-GPCR: A method for Identifying G-protein Coupled Receptors based on word embedding and wordbooks. Computational and Structural Biotechnology Journal, 19: 4961-4969. (2020 IF: 7.271)
166. Hao Lv, Fu-Ying Dao, Dan Zhang, Hui Yang, Hao Lin*. (2021) Advances in mapping the epigenetic modifications of 5-methylcytosine (5mC), N6-methyladenine (6mA), and N4-methylcytosine (4mC). Biotechnology and Bioengineering, 118(11): 4204-4216. (2020 IF: 4.530)
165. Fu-Ying Dao, Hao Lv, Wei Su, Zi-Jie Sun, Qin-Lai Huang, Hao Lin* (2021) iDHS-Deep: An integrated tool for predicting DNase I hypersensitive sites by deep neural network. Briefings in Bioinformatics, 22(5): bbab047. (2020 IF: 11.622)
164. Hao Lv&, Fu-Ying Dao&, Hasan Zulfiqar, Wei Su, Hui Ding, Li Liu*, Hao Lin* (2021) A sequence-based deep learning approach to predict CTCF-mediated chromatin loop. Briefings in Bioinformatics, 22(5): bbab031. (2020 IF: 11.622)
163. Fu-Ying Dao, Hao Lv, Dan Zhang, Zi-Mei Zhang, Li Liu*, Hao Lin*. (2021) DeepYY1: a deep learning approach to identify YY1-mediated chromatin loops. Briefings in Bioinformatics, 22(4):bbaa356. (2020 IF: 11.622) (ESI)
162. Hao Lv, Fu-Ying Dao, Zheng-Xing Guan, Hui Yang, Yan-Wen Li*, Hao Lin*. (2021) Deep-Kcr: accurate detection of lysine crotonylation sites using deep learning method. Briefings in Bioinformatics, 22(4): bbaa255. (2020 IF: 11.622) (ESI, Hot)
161. Hasan Zulfiqar, Shi-Shi Yuan, Qin-Lai Huang, Zi-Jie Sun, Fu-Ying Dao, Xiao-Long Yu*, Hao Lin*. (2021) Identification of Cyclin Protein Using Gradient Boost Decision Tree Algorithm. Computational and Structural Biotechnology Journal, 19: 4123–4131. (2020 IF: 7.271)
160. Qiaoying Pei, Nan Li, Yun Bai, Tong Wu, Qihang Yang, Tong Yu, Zhiyuan Wang, Zhuo Liu, Qiang Li, Hao Lin*, Xiaoming Song*. (2021) Comparative analysis of the TCP gene family in celery, coriander and carrot (family Apiaceae). Vegetable Research, 1: 5.
159. Xiaoming Song*, Nan Li, Yuanyuan Guo, Yun Bai, Tong Wu, Tong Yu, Shuyan Feng, Yu Zhang, Zhiyuan Wang, Zhuo Liu, Hao Lin*. (2021) Comprehensive identification and characterization of simple sequence repeats based on the whole-genome sequences of 14 forest and fruit trees. Forestry Research, 1:7.
158. Jianglan Long&, Hui Yang&, Zhirui Yang&, Qingquan Jia, Liwei Liu, Lingwei Kong, Huijing Cui, Suying Ding, Qian Qin, Nana Zhang, Xingzhong Feng, Shuxun Yan, Jinfa Tang, Shuo Chen, Yumei Han, Tao Jiang, Zhen Wen, Ningning Qi, Kejun Deng, Zhi Sun*, Hao Lin*, Dan Yan* (2021) Integrated biomarker profiling of the metabolome associated with impaired fasting glucose and type 2 diabetes mellitus in large-scale Chinese patients. Clinical and Translational Medicine, 11(6): e432. (2020 IF: 11.492)
157. Hui Yang, Yamei Luo, Xiaolei Ren, Ming Wu, Xiaolin He, Bowen Peng, Kejun Deng, Dan Yan, Hua Tang*, Hao Lin* (2021) Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators. Information Fusion, 75: 140–149. (2020 IF: 12.975) (ESI, Hot)
156. Wei Su, Meng-Lu Liu, Yu-He Yang, Jia-Shu Wang, Shi-Hao Li, Hao Lv, Fu-Ying Dao, Hui Yang, Hao Lin* (2021) PPD: A Manually Curated Database for Experimentally Verified Prokaryotic Promoters. Journal of Molecular Biology, 433: 166860. (2020 IF: 5.469)
155. Duolin Wang, Zhaoyue Zhang,Yuexu Jiang, Ziting Mao, Dong Wang*, Hao Lin*, Dong Xu* (2021) DM3Loc: Multi-label mRNA subcellular localization prediction and analysis based on multi-head self-attention mechanism. Nucleic Acids Research, 49(8): e46. (2020 IF: 16.971) (ESI)
154. Dan Zhang&, Zhao-Chun Xu&, Wei Su, Yu-He Yang, Hao Lv, Hui Yang, Hao Lin*. (2021) iCarPS: a computational tool for identifying protein carbonylation sites by novel encoded features. Bioinformatics, 37(2): 171-177. (2020 IF: 6.937) (ESI)
153. Hasan Zulfiqar, Rida Sarwar Khan, Farwa Hassan, Kyle Hippe, Cassandra Hunt, Hui Ding*, Xiao-Ming Song*, Renzhi Cao* (2021) Computational identification of N4-methylcytosine sites in the mouse genome with machine-learning method. Mathematical Biosciences and Engineering, 18(4): 3348–3363. (2020 IF: 2.08)
152. Cuixia Chen, Lina Sun, Xuexin Hou, Pengcheng Du, Xiaolong Wang, Xiaochen Du, Yufei Yu, Ruikun Cai, Lei Yu, Tianjun Li, Minna Luo, Yue Shen, Chao Lu, Qian Li, Chuan Zhang, Huafang Gao, Xu Ma*, Hao Lin*, Zongfu Cao*. (2021) Prevention and control of pathogens based on big-data mining and visualization analysis. Frontiers in Molecular Biosciences, 7: 626595 (2020 IF: 5.246)
151. Wei Su&, Fang Wang&, Jiu-Xin Tan, Fu-Ying Dao, Hui Yang, Hui Ding*. (2021) The prediction of human DNase I hypersensitive sites based on DNA sequence information. Chemometrics and Intelligent Laboratory Systems, 209: 104223. (2020 IF: 3.491)
150. Fu-Ying Dao, Hao Lv, Hasan Zulfiqar, Hui Yang, Wei Su, Hui Gao, Hui Ding, Hao Lin*. (2021) A computational platform to identify origins of replication sites in eukaryotes. Briefings in Bioinformatics, 22(2): 1940–1950. (2020 IF: 11.622) (ESI)
149. Zhao-Yue Zhang, Yu-He Yang, Hui Ding, Dong Wang*, Wei Chen*, Hao Lin*. (2021) Design powerful predictor for mRNA subcellular location prediction in Homo sapiens. Briefings in Bioinformatics, 22(1): 526–535. (2020 IF: 11.622) (ESI)
148. Dan Zhang, Hua-Dong Chen, Hasan Zulfiqar, Shi-Shi Yuan, Qin-Lai Huang, Zhao-Yue Zhang*, Ke-Jun Deng* (2021) iBLP: A XGBoost-based predictor for identifying bioluminescent proteins. Computational and Mathematical Methods in Medicine, ID 6664362. (2020 IF: 2.238)
147. Hasan Zulfiqar, Muhammad Shareef Masoud, Hui Yang, Shu-Guang Han*, Cheng-Yan Wu*, Hao Lin* (2021) Screening of Prospective Plant Compounds as H1R and CL1R Inhibitors and its Anti-Allergic Efficacy through Molecular Docking approach. Computational and Mathematical Methods in Medicine, ID 6683407. (2020 IF: 2.238)
146. Lu-Qiang Zhang, Guo-Liang Fan, Li Liu, Qian-Zhong Li*, Hao Lin*. (2021) Identification of key histone modifications and their regulatory regions on gene expression level changes in chronic myelogenous leukemia. Frontiers in Cell and Developmental Biology, 8:621578. (2020 IF: 6.684)
145. Li Liu, Li-Rong Zhang*, Fu-Ying Dao, Yan-Chao Yang, Hao Lin*. (2021) A computational framework for identifying the transcription factors involved in enhancer-promoter loop formation. Molecular Therapy - Nucleic Acids, 23: 347-354. (2020 IF: 8.886)
144. Meng-Lu Liu, Wei Su, Zheng-Xing Guan, Dan Zhang, Wei Chen*, Li Liu*, Hui Ding*. (2020) An Overview on Predicting Protein Subchloroplast Localization by Using Machine Learning Methods. Current Protein & Peptide Science, 21(12): 1229 - 1241. (2019 IF: 2.52)
143. Guoqing Liu*, Hongyu Zhao, Hu Meng, Yongqiang Xing, Hui Yang, Hao Lin*. (2020) Deform-nu: a DNA deformation energy-based predictor for nucleosome positioning. Frontiers in Cell and Developmental Biology, 8: 596341. (2019 IF: 5.201)
142. Meng-Lu Liu, Wei Su, Jia-Shu Wang, Yu-He Yang, Hui Yang, Hao Lin*. (2020) Predicting preference of transcription factors for methylated DNA using sequence information. Molecular Therapy - Nucleic Acids, 22: 1043-1050. (2019 IF: 7.032)
141. Hao Lin*. (2020) Editorial: Development and Application of Artificial Intelligence Methods in Biological and Medical Data. Current Bioinformatics, 15(6): 515-516. (2019 IF: 2.068) (Special Issue)
140. Qiang Tang, Juanjuan Kang, Jiaqing Yuan, Hua Tang, Xinahai Li, Hao Lin*, Jian Huang*, Wei Chen*. (2020) DNA4mC-LIP: a linear integration method to identify N4-methylcytosine site in multiple species. Bioinformatics, 36(11): 3327-3335. (2019 IF: 5.610)
139. Zi-Mei Zhang, Jia-Shu Wang, Hasan Zulfiqar, Hao Lv, Fu-Ying Dao, Hao Lin*. (2020) Early Diagnosis of Pancreatic Ductal Adenocarcinoma by Combining Relative Expression Orderings with Machine Learning Method. Frontiers in Cell and Developmental Biology, 8: 582864. (2019 IF: 5.201)
138. Hui Ding*. (2020) Editorial: Development and Application of Computational Methods in Biological and Medical Data. Combinatorial Chemistry & High Throughput Screening, 23(6): 525-526. (2019 IF: 1.195) (Special Issue)
137. Hui Yang, Wuritu Yang, Fu-Ying Dao, Hao Lv, Hui Ding*, Wei Chen*, Hao Lin*. (2020) A comparison and assessment of computational method for identifying recombination hotspots in Saccharomyces cerevisiae. Briefings in Bioinformatics, 21(5): 1568-1580. (2019 IF: 8.990) (ESI, Hot)
136. Yu-He Yang, Chi Ma, Jia-Shu Wang, Hui Yang, Hui Ding*, Shu-Guang Han*, Yan-Wen Li*. (2020) Prediction of N7-methylguanosine sites in human RNA based on optimal sequence features. Genomics, 112: 4342–4347. (2019 IF: 6.205)
135. Wei Chen*, Pengmian Feng, Kewei Liu, Meng Wu, Hao Lin*. (2020) Computational Identification of Small Interfering RNA Targets in SARS-CoV-2. Virologica Sinica, 35(3):359-361. (2019 IF: 3.242)
134. Zi-Mei Zhang, Zheng-Xing Guan, Fang Wang, Dan Zhang, Hui Ding* (2020) Applications of machine learning methods in predicting nuclear receptors and their families. Medicinal Chemistry, 16(5): 594 - 604. (2019 IF: 2.577)
133. Shi-Hao Li, Zheng-Xing Guan, Dan Zhang, Zi-Mei Zhang, Jian Huang, Wuritu Yang*, Hao Lin* (2020) Recent Advancement in Predicting Subcellular Localization of Mycobacterial Protein with Machine Learning Methods. Medicinal Chemistry, 16(5): 605 - 619. (2019 IF: 2.577)
132. Hao Lin*. (2020) Editorial: Computational Analysis in Medicinal Chemistry. The Case of Pharmacogenomics and Pharmacoproteomics. Medicinal Chemistry, 16(5): 593. (2019 IF: 2.577) (Special Issue)
131. Hao Lv, Zi-Mei Zhang, Shi-Hao Li, Jiu-Xin Tan, Wei Chen*, Hao Lin*. (2020) Evaluation of different computational methods on 5-methylcytosine sites identification. Briefings in Bioinformatics, 21(3): 982-995. (2019 IF: 8.990) (ESI)
130. Fu-Ying Dao &, Hao Lv &, Yu-He Yang, Hasan Zulfiqar, Hui Gao, Hao Lin*. (2020) Computational identification of N6-Methyladenosine sites in multiple tissues of mammals. Computational and Structural Biotechnology Journal, 18: 1084–1091. (2019 IF: 6.018)
129. Zheng-Xing Guan, Shi-Hao Li, Zi-Mei Zhang, Dan Zhang, Hui Yang*, Hui Ding*. (2020) A Brief Survey for MicroRNA Precursor Identification using Machine Learning Methods. Current Genomics, 21(1): 11-25. (2019 IF: 2.63)
128. Hao Lv, Fu-Ying Dao, Dan Zhang, Zheng-Xing Guan, Hui Yang, Wei Su, Meng-Lu Liu, Hui Ding, Wei Chen, Hao Lin*. (2020) iDNA-MS: an integrated computational tool for detecting DNA modification sites in multiple genomes. iScience, 23(4): 100991. (2019 IF: 4.447) (ESI)
127. Wei Chen*, Fulei Nie, Hui Ding*. (2020) Recent Advances of Computational Methods for Identifying Bacteriophage Virion Proteins. Protein & Peptide Letters, 27 (4), 259-264. (2019 IF: 1.156)
126. Hao Lin*. (2020) Editorial: Computational Method in Protein Structure and Function Data. Protein & Peptide Letters, 27 (4), 257-258. (2019 IF: 1.156) (Special Issue)
125. Zi-Mei Zhang, Jiu-Xin Tan, Fang Wang, Fu-Ying Dao, Zhao-Yue Zhang, Hao Lin*. (2020) Early Diagnosis of Hepatocellular Carcinoma Using Machine Learning Method. Frontiers in Bioengineering and Biotechnology, 8: 254. (2019 IF: 3.644)
124. Kewei Liu, Wei Chen*, Hao Lin*. (2020) XG-PseU: an eXtreme Gradient Boosting based method for identifying pseudouridine sites. Molecular Genetics and Genomics, 295: 13–21. (2019 IF: 2.797) (ESI)
123. Shi-Hao Li, Jun Zhang, Ya-Wei Zhao, Fu-Ying Dao, Hui Ding*, Wei Chen*, Hua Tang* (2019) iPhoPred: a predictor for identifying phosphorylation sites in human protein. IEEE Access, 7: 177517 - 177528. (2018 IF: 4.098)
122. Dan Zhang, Zheng-Xing Guan, Zi-Mei Zhang, Shi-Hao Li, Fu-Ying Dao, Hua Tang*, Hao Lin* (2019) Recent Development of Computational Predicting Bioluminescent Proteins. Current Pharmaceutical Design, 25(4): 4264 - 4273. (2018 IF: 2.412)
121. Fang Wang, Zheng-Xing Guan, Fu-Ying Dao, Hui Ding*. (2019) A brief review on the computational identification of antifreeze protein. Current Organic Chemistry, 23(15): 1671 - 1680. (2018 IF: 2.029)
120. Zhao-Chun Xu, Peng-Mian Feng, Hui Yang, Wang-Ren Qiu, Wei Chen*, Hao Lin*. (2019) iRNAD: a computational tool for identifying D modification sites in RNA sequence. Bioinformatics, 35 (23), 4922-4929. (2018 IF: 4.531)
119. Guoqing Liu*, Guojun Liu, Jiu-Xin Tan, Hao Lin*. (2019) DNA physical properties outperform sequence compositional information in classifying nucleosome-enriched and -depleted regions. Genomics, 111(5):1167-1175. (2018 IF: 3.16)
118. Wei Chen*, Pengmian Feng, Xiaoming Song, Hao Lv, Hao Lin*. (2019) iRNA-m7G: identifying N7-methylguanosine sites by fusing multiple features. Molecular Therapy - Nucleic Acids, 18: 269-274. (2018 IF: 5.919)
117. Wei Chen*, Pengmian Feng, Xiaoming Song, Hao Lv, Hao Lin*. (2019) iRNA-m2G: identifying N2-methylguanosine sites based on sequence derived information. Molecular Therapy - Nucleic Acids, 18: 253-258. (2018 IF: 5.919)
116. Hao Lv, Fu-Ying Dao, Zheng-Xing Guan, Dan Zhang, Jiu-Xin Tan, Yong Zhang*, Wei Chen*, Hao Lin*. (2019) iDNA6mA-Rice: a computational tool for detecting N6-methyladenine sites in rice. Frontiers in Genetics, 10:793. (2018 IF: 3.517)
115. Wei Chen*, Hao Lv, Fulei Nie, Hao Lin*. (2019) i6mA-Pred:Identifying DNA N6-methyladenine sites in the rice genome. Bioinformatics, 35(16): 2796–2800. (2018 IF: 4.531) (ESI, Hot)
114. Hao Lin*, Zhi-Yong Liang, Hua Tang, Wei Chen*. (2019) Identifying sigma70 promoters with novel pseudo nucleotide composition. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 16(4): 1316-1321. (2018 IF: 2.896) (ESI)
113. Yun Wu*, Zhiquan He, Hao Lin*, Yufei Zheng, Jingfen Zhang, Dong Xu*. (2019) A fast projection-based algorithm for clustering big data. Interdisciplinary Sciences: Computational Life Sciences, 11(3): 360-366. (2018 IF: 1.418)
112. Hong-Yan Lai&, Zhao-Yue Zhang&, Zhen-Dong Su, Wei Su, Hui Ding, Wei Chen*, Hao Lin*. (2019) iProEP: a computational predictor for predicting promoter. Molecular Therapy - Nucleic Acids, 17: 337-346. (2018 IF: 5.919) (ESI)
111. Fu-Ying Dao, Hao Lv, Fang Wang, Chao-Qin Feng, Hui Ding*, Wei Chen*, Hao Lin*. (2019) Identify origin of replication in Saccharomyces cerevisiae using two-step feature selection technique. Bioinformatics, 35(12):2075-2083. (2018 IF: 4.531) (ESI, Hot)
110. Hui Ding*. (2019) Editorial: The Application of Machine Learning Techniques in Protein Drugs and Drug Targets Recognition. Current Drug Metabolism, 20(3): 168-169. (2018 IF: 2.277) (Special Issue)
109. Huan-Huan Wei, Wuritu Yang, Hua Tang, Hao Lin*. (2019) The development of machine learning methods in cell-penetrating peptides identification: a brief review. Current Drug Metabolism, 20(3): 217-223. (2018 IF: 2.277)
108. Chao-Qin Feng, Zhao-Yue Zhang, Xiao-Juan Zhu, Yan Lin, Wei Chen*, Hua Tang*, Hao Lin*. (2019) iTerm-PseKNC: a sequence-based tool for predicting bacterial transcriptional terminators. Bioinformatics, 35(9): 1469-1477. (2018 IF: 4.531) (ESI, Hot)
107. Jiu-Xin Tan, Shi-Hao Li, Zi-Mei Zhang, Cui-Xia Chen, Wei Chen*, Hua Tang*, Hao Lin*. (2019) Identification of hormone binding proteins based on machine learning methods. Mathematical Biosciences and Engineering, 16(4): 2466-2480. (2018 IF: 1.313) (ESI, hot)
106. Hao Lin*. (2019) Editorial: The Computational Methods in Drug Targets Discovery. Current Drug Targets, 20(5): 479-480. (2018 IF: 2.642) (Special Issue)
105. Jiu-Xin Tan, Hao Lv, Fang Wang, Fu-Ying Dao, Wei Chen*, Hui Ding*. (2019) A survey for predicting enzyme family classes using machine learning methods. Current Drug Targets, 20(5): 540-550. (2018 IF: 2.642)
104. Li Liu*, Qian-Zhong Li*, Wen Jin, Hao Lv, Hao Lin*. (2019) Revealing gene function and transcription relationship by reconstructing gene-level chromatin interaction. Computational and Structural Biotechnology Journal, 17: 195-205. (2018 IF: 4.72)
103. Hao Lin*. (2019) Editorial: Development and Application of Computational Methods to Analysis and Identify Biological Organic Molecular. Letters in Organic Chemistry, 16(4): 245-246. (2018 IF: 0.723) (Special Issue)
102. Wuritu Yang, Xiao-Juan Zhu, Jian Huang, Hui Ding, Hao Lin*. (2019) A brief survey of machine learning methods in protein sub-Golgi localization. Current Bioinformatics, 14: 234-240. (2018 IF: 1.189) (ESI)
101. Wei Chen*, Xiaoming Song, Hao Lin*. (2019) Combinatorial pattern of histone modifications in exon skipping event. Frontiers in Genetics, 10: 122. (2018 IF: 3.517)
100. Pengmian Feng, Hui Yang, Hui Ding, Hao Lin*, Wei Chen*, Kuo-Chen Chou*. (2019) iDNA6mA-PseKNC: Identifying DNA N6-methyladenosine sites sites by incorporating nucleotide physicochemical properties into PseKNC. Genomics, 111(1): 96-102. (2018 IF: 3.16) (ESI, Hot)
99. Xiao-Juan Zhu, Chao-Qin Feng, Hong-Yan Lai, Wei Chen*, Hao Lin*. (2019) Predicting protein structural classes for low-similarity sequences by evaluating different features. Knowledge-Based Systems, 163: 787-793. (2018 IF: 5.101) (ESI)
98. Zhen-Dong Su, Yan Huang, Zhao-Yue Zhang, Ya-Wei Zhao, Dong Wang, Wei Chen*, Kuo-Chen Chou*, Hao Lin*. (2018) iLoc-lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC. Bioinformatics, 34(24): 4196-4204. (2017 IF: 5.481) (ESI, Hot)
97. Fu-Ying Dao, Hao Lv, Fang Wang, Hui Ding*. (2018) Recent advances on the machine learning methods in identifying DNA replication origins in eukaryotic genomics. Frontiers in Genetics, 9: 613. (2017 IF: 4.151)
96. Hui Yang, Hao Lv, Hui Ding, Wei Chen*, Hao Lin*. (2018) iRNA-2OM: A sequence-based predictor for identifying 2’-O-methylation sites in Homo sapiens. Journal of Computational Biology, 25(11): 1266-1277. (2017 IF: 1.191) (ESI, Hot)
95. Hong-Yan Lai, Chao-Qin Feng, Zhao-Yue Zhang, Hua Tang, Wei Chen*, Hao Lin*. (2018) A brief survey of machine learning application in cancerlectins identification. Current Gene Therapy, 18(5): 257-267. (2017 IF: 1.943)
94. Wei Chen*, Peng-Mian Feng, Hui Ding, Hao Lin*. (2018) Classifying included and excluded exons in exon skipping event using histone modifications. Frontiers in Genetics, 9: 433. (2017 IF: 4.151)
93. Wei Chen*, Hui Ding, Xu Zhou, Hao Lin*, Kuo-Chen Chou*. (2018) iRNA(m6A)-PseDNC: Identifying N6-methyladenosine sites using pseudo dinucleotide composition. Analytical Biochemistry, 561: 59–65. (2017 IF: 2.275)(ESI, Hot)
92. Jing-Hui Cheng, Hui Yang, Meng-Lu Liu, Wei Su, Peng-Mian Feng, Hui Ding*, Wei Chen*, Hao Lin*. (2018) Prediction of bacteriophage proteins located in the host cell using hybrid features. Chemometrics and Intelligent Laboratory Systems, 180: 64-69. (2017 IF: 2.701)
91. Lifen Shao, Hui Gao*, Zhen Liu, Juan Feng, Lixia Tang, Hao Lin*. (2018) Identification of antioxidant proteins with deep learning from sequence information. Frontiers in Pharmacology, 9: 1036. (2017 IF: 3.831)
90. Jiu-Xin Tan, Fu-Ying Dao, Hao Lv, Peng-Mian Feng *, Hui Ding * (2018) Identifying Phage Virion Proteins by Using Two-Step Feature Selection Methods. Molecules, 23(8): 2000. (2017 IF: 3.098)
89. Yanyuan Pan, Hui Gao*, Hao Lin*, Zhen Liu, Lixia Tang, Songtao Li. (2018) Identification of Bacteriophage Virion Proteins Using Multinomial Naïve Bayes with g-Gap Feature Tree. International Journal of Molecular Sciences, 19(6): 1779. (2017 IF: 3.687)
88. Hao Lin, Shaoliang Peng, Jian Huang*. (2018) Special issue on Computational Resources and Methods in Biological Sciences International Journal of Biological Sciences, 19(6): 1779. (2017 IF: 4.057)(Special Issue)
87. Hua Tang*, Ya-Wei Zhao, Ping Zou, Chun-Mei Zhang, Rong Chen, Po Huang, Hao Lin*. (2018) HBPred: a tool to identify growth hormone-binding proteins. International Journal of Biological Sciences, 14(8): 957-964. (2017 IF: 4.057) (ESI)
86. Hui Yang, Wang-Ren Qiu, Guoqing Liu, Feng-Biao Guo, Wei Chen*, Kuo-Chen Chou*, Hao Lin*. (2018) iRSpot-Pse6NC: Identifying recombination spots in Saccharomyces cerevisiae by incorporating hexamer composition into general PseKNC. International Journal of Biological Sciences, 14(8): 883-891. (2017 IF: 4.057) (ESI, Hot)
85. Jidong Zhang, Pengmian Feng, Hao Lin*, Wei Chen*. (2018) Identifying RNA N-6-methyladenosine sites in Escherichia coli genome. Frontiers in Microbiology, 9: 955. (2017 IF: 4.019)
84. Wei Chen*, Pengmian Feng, Hui Yang, Hui Ding, Hao Lin*, Kuo-Chen Chou. (2018) iRNA-3typeA: identifying three types of modification at RNA’s adenosine sites. Molecular Therapy - Nucleic Acids, 11: 468-474. (2017 IF: 5.660) (ESI, Hot)
83. Wang-Ren Qiu, Bi-Qian Sun, Hua Tang, Jian Huang*, Hao Lin*. (2017) Identify and analysis crotonylation sites in histone by using support vector machines. Artificial Intelligence In Medicine, 83: 75-81. (2016 IF: 2.009)
82. Pengmian Feng, Jidong Zhang, Hua Tang, Wei Chen*, Hao Lin* (2017) Predicting the Organelle Location of Noncoding RNAs Using Pseudo Nucleotide Compositions. Interdisciplinary Sciences: Computational Life Sciences, 9: 540–544. (2016 IF: 0.753)
81. Wei Chen*, Hui Yang, Peng-Mian Feng, Hui Ding, Hao Lin*, (2017) iDNA4mC: identifying DNA N4-methylcytosine sites based on nucleotide chemical properties. Bioinformatics, 33(22): 3518-3523. (2016 IF: 7.307) (ESI, Hot)
80. Hao Lin*, (2017) Editorial: Development and Application of Feature Selection Techniques in Protein Data Analysis and Prediction. Letters in Organic Chemistry, 14(9): 619-620. (2016 IF: 0.73) (Special Issue)
79. Ya-Wei Zhao, Zhen-Dong Su, Wuritu Yang, Hao Lin*, Wei Chen*, Hua Tang* (2017) IonchanPred 2.0: a tool to predict ion channels and their types. International Journal of Molecular Sciences, 18: 1838. (2016 IF: 3.226)
78. Peng-Mian Feng, Hui Ding, Hao Lin*, Wei Chen*. (2017) AOD: the antioxidant protein database. Scientific Reports, 7: 7449. (2016 IF: 4.259)
77. Fu-Ying Dao, Hui Yang, Zhen-Dong Su, Wuritu Yang, Yun Wu, Ding Hui, Wei Chen*, Hua Tang*, Hao Lin*. (2017) Recent advances in conotoxin classification by using machine learning methods. Molecules, 22: 1057. (2016 IF: 2.861)
76. Hong-Yan Lai, Xin-Xin Chen, Wei Chen, Hua Tang*, Hao Lin*. (2017) Sequence-based predictive modeling to identify cancerlectins. Oncotarget, 8(17): 28169-28175. (2016 IF: 5.168) (ESI)
75. Pengmian Feng, Hui Ding, Hui Yang, Wei Chen*, Hao Lin*, and Kuo-Chen Chou*. (2017) iRNA-PseColl: Identifying the occurrence sites of different RNA modifications by incorporating collective effects of nucleotides into PseKNC. Molecular Therapy - Nucleic Acids, 7: 155–163. (2016 IF: 6.392) (ESI, Hot)
74. Wei Chen*, Hua Tang, Hao Lin*. (2017) MethyRNA: a web server for identification of N6-methyladenosine sites. Journal of Biomolecular Structure & Dynamics, 35(3): 683-687. (2016 IF: 3.123)
73. Zhi-Yong Liang, Hong-Yan Lai, Huan Yang, Chang-Jian Zhang, Hui Yang, Huan-Huan Wei, Xin-Xin Chen, Ya-Wei Zhao, Zhen-Dong Su, Wen-Chao Li, En-Ze Deng, Hua Tang, Wei Chen*, Hao Lin* (2017) Pro54DB: a database for experimentally verified sigma-54 promoters. Bioinformatics, 33(3): 467-469. (2016 IF: 7.307) (ESI)
72. Wei Chen*, Pengmian Feng, Hui Yang, Hui Ding, Hao Lin*, Kuo-Chen Chou. (2017) iRNA-AI: identifying the adenosine to inosine editing sites in RNA sequences. Oncotarget, 8(3): 4208-4217. (2016 IF: 5.168) (ESI)
71. Ting Zhang, Puwen Tan, Liqiang Wang, Nana Jin, Yana Li, Lin Zhang, Huan Yang, Zhenyu Hu, Lining Zhang, Chunyu Hu, Chunhua Li, Kun Qian, Changjian Zhang, Yan Huang, KongningLi*, Hao Lin*, Dong Wang*. (2017) RNALocate: a resource for RNA Subcellular Localizations. Nucleic Acids Research, 45(D1): D135-D138. (2016 IF: 10.162) (ESI)
70. Chang-Jian Zhang, Hua Tang, Wen-Chao Li, Hao Lin*, Wei Chen*, Kuo-Chen Chou*. (2016) iOri-Human: identify human origin of replication by incorporating dinucleotide physicochemical properties into pseudo nucleotide composition. Oncotarget, 7(43): 69783-69793. (2015 IF: 5.008)(ESI, Hot)
69. Wei Chen*, Pengmian Feng, Hui Ding, Hao Lin*. (2016) PAI: Predicting adenosine to inosine editing sites by using pseudo nucleotide compositions. Scientific Reports, 6: 3512. (2015 IF: 5.228)
68. Ya-Wei Zhao, Hong-Yan Lai, Hua Tang, Wei Chen*, Hao Lin*. (2016) Prediction of phosphothreonine sites in human proteins by fusing different features. Scientific Reports, 6: 34817. (2015 IF: 5.228)
67. Wei Chen*, Pengmian Feng, Hui Ding, Hao Lin*. (2016) Identifying N(6)-methyladenosine sites in the Arabidopsis thaliana transcriptome. Molecular Genetics and Genomics, 291(6): 2225-2229. (2015 IF: 2.622)
66. Peng-Mian Feng, Hui Ding, Wei Chen*, Hao Lin*. (2016) Identifying RNA 5-methylcytosine sites via pseudo nucleotide compositions. Molecular BioSystems, 12(11): 3307-3311. (2015 IF: 2.829)
65. Hui Ding, Wuritu Yang, Hua Tang, Peng-Mian Feng, Jian Huang, Wei Chen*, Hao Lin*. (2016) PHYPred: a tool for identifying bacteriophage enzymes and hydrolases. Virologica Sinica, 31(2): 350-352. (2015 IF: )
64. Huan Yang, Hua Tang, Xin-Xin Chen, Chang-Jian Zhang, Pan-Pan Zhu, Hui Ding, Wei Chen*, Hao Lin*. (2016) Identification of secretory proteins in mycobacterium tuberculosis using pseudo amino acid composition. BioMed Research International, 2016: 5413903. (2015 IF: 2.134)(ESI)
63. Wei Chen*, Pengmian Feng, Hua Tang, Hui Ding, Hao Lin*. (2016) RAMPred: identifying the N-1-methyladenosine sites in eukaryotic transcriptomes. Scientific Reports, 6: 31080. (2015 IF: 5.228)
62. Hua Tang*, Ping Zou, Chunmei Zhang, Rong Chen, Wei Chen*, Hao Lin*. (2016) Identification of apolipoprotein using feature selection technique. Scientific Reports, 6: 30441. (2015 IF: 5.228)
61. Wei Chen*, Hua Tang, Jing Ye, Hao Lin*, Kuo-Chen Chou*. (2016) iRNA-PseU: Identifying RNA pseudouridine sites. Molecular Therapy - Nucleic Acids, 5: e332. (2015 IF: 5.048)(ESI)
60. Hua Tang*, Zhen-Dong Su, Huan-Huan Wei, Wei Chen, Hao Lin*. (2016) Prediction of cell-penetrating peptides with feature selection techniques. Biochemical and Biophysical Research Communications, 477: 150-154. (2015 IF: 2.371)
59. Xin-Xin Chen, Hua Tang, Wen-Chao Li, Hao Wu, Wei Chen*, Hui Ding*, Hao Lin*. (2016) Identification of Bacterial Cell Wall Lyases via Pseudo Amino Acid Composition. BioMed Research International, 2016: 1654623. (2015 IF: 2.134)
58. Wei Chen*, Pengmian Feng, Hua Tang, Hui Ding, Hao Lin*. (2016) Identifying 2′-O-methylationation sites by integrating nucleotide chemical properties and nucleotide compositions. Genomics, 107: 255-258. (2014 IF: 2.284)
57. Pengmian Feng, Wei Chen*, Hao Lin*. (2016) Identifying antioxidant proteins by using optimal dipeptide compositions. Interdisciplinary Sciences: Computational Life Sciences, 8: 186-191. (2014 IF: 0.662)
56. Yun Wu, Hua Tang, Wei Chen, Hao Lin*. (2016) Predicting human enzyme family classes by using pseudo amino acid composition. Current Proteomics, 13(2): 99-104. (2014 IF: 0.635)
55. Wei Chen*, Hui Ding, Peng-Mian Feng, Hao Lin*, Kuo-Chen Chou*. (2016) iACP: a sequence-based tool for identifying anticancer peptides. Oncotarget, 7(13): 16895-16909. (2014 IF: 6.359)(ESI)
54. Hua Tang*, Wei Chen, Hao Lin*. (2016) Identification of immunoglobulins using Chou’s pseudo amino acid composition with feature selection technique. Molecular BioSystems, 12: 1269-1275. (2014 IF: 3.21)(ESI)
53. Hui Ding*, Zhi-Yong Liang, Feng-Biao Guo, Jian Huang, Wei Chen*, Hao Lin*. (2016) Predicting bacteriophage proteins located in host cell with feature selection technique. Computers in Biology and Medicine, 71: 156–161. (2014 IF: 1.240)
52. Wei Chen*, Pengmian Feng, Hui Ding, Hao Lin*, Kuo-Chen Chou*. (2016) Using deformation energy to analyze nucleosome positioning in genomes. Genomics, 107: 69–75. (2014 IF: 2.284)(ESI)
51. Hao Lin*, Wei-Xin Liu, Jiao He, Xin-Hui Liu, Hui Ding, Wei Chen*. (2015) Predicting cancerlectins by the optimal g-gap dipeptides. Scientific Reports, 5: 16964. (2014 IF: 5.578)
50. Wei Chen*, Pengmian Feng, Hui Ding, Hao Lin*, Kuo-Chen Chou*. (2015) iRNA-Methyl: Identifying N-6-methyladenosine sites using pseudo nucleotide compositions. Analytical Biochemistry, 490: 26-33. (2014 IF: 2.219) (ESI, hot)
49. Wei Chen*, Hao Lin*, Kuo-Chen Chou*. (2015) Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences. Molecular BioSystems, 11: 2620-2634. (2014 IF: 3.183) (ESI)
48. Hui Ding*, Dongmei Li*. (2015) Identification of mitochondrial proteins of malaria parasite using analysis of variance. Amino Acids, 47(2): 329-333. (2013 IF: 3.653)
47. Pan-Pan Zhu, Wen-Chao Li, Zhe-Jin Zhong, En-Ze Deng, Hui Ding*, Wei Chen*, Hao Lin*. (2015) Predicting the subcellular localization of mycobacterial proteins by incorporating the optimal tripeptides into the general form of pseudo amino acid composition. Molecular Biosystems, 11: 558-563. (2013 IF: 3.183) (ESI)
46. Wen-Chao Li, En-Ze Deng, Hui Ding*, Wei Chen*, Hao Lin* (2015) iORI-PseKNC: a predictor for identifying origin of replication with pseudo k-tuple nucleotide composition. Chemometrics and Intelligent Laboratory Systems, 141: 100-106. (2013 IF: 2.381)
45. Hao Lin*, En-Ze Deng, Hui Ding, Wei Chen*, Kuo-Chen Chou*. (2014) iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition. Nucleic Acids Research, 42(21): 12961-12972. (2013 IF: 8.808) (ESI hot)
44. Wen-Chao Li, Zhe-Jin Zhong, Pan-Pan Zhu, En-Ze Deng, Hui Ding*, Wei Chen*，Hao Lin*. (2014) Sequence analysis of origins of replication in the Saccharomyces cerevisiae genomes. Frontiers in Microbiology, 5: 574. (2013 IF: 3.9)
43. Pengmian Feng*, Wei Chen, Hao Lin*. (2014) Prediction of CpG island methylation status by integrating DNA physicochemical properties. Genomics, 104(4): 229-233. (2013 IF: 2.793)
42. Wei Chen*, Hao Lin*, Pengmian Feng, Jinpeng Wang. (2014) Exon skipping event prediction based on histone modifications. Interdisciplinary Sciences: Computational Life Sciences, 6(3): 241-249. (2013 IF: 0.672)
41. Hui Ding, Hao Lin*, Wei Chen*, Zi-Qiang Li, Feng-Biao Guo, Jian Huang, Nini Rao. (2014) Prediction of protein structural classes based on feature selection technique. Interdisciplinary Sciences: Computational Life Sciences, 6(3): 235-240. (2013 IF: 0.672)
40. Wei Chen*, Peng-Mian Feng, En-Ze Deng, Hao Lin*, Kuo-Chen Chou*. (2014) iTIS-PseTNC: a sequence-based predictor for identifying translation initiation site in human genes using pseudo trinucleotide composition. Analytical Biochemistry, 462: 76-83. (2012 IF: 2.582) (ESI hot)
39. Wei-Xin Liu, En-Ze Deng, Wei Chen, Hao Lin*. (2014) Identifying the subfamilies of voltage-gated potassium channels using feature selection technique. International Journal of Molecular Sciences, 15: 12940-12951. (2012 IF: 2.464)
38. Hui Ding*, Peng-Mian Feng, Wei Chen*, Hao Lin*. (2014) Identification of bacteriophage virion proteins by the ANOVA feature selection and analysis. Molecular Biosystems, 10: 2229-2235. (2012 IF: 3.35)
37. Hui Ding*, En-Ze Deng, Lu-Feng Yuan, Li Liu, Hao Lin*, Wei Chen*, Kuo-Chen Chou. (2014) iCTX-Type: A sequence-based predictor for identifying the types of conotoxins in targeting ion channels. BioMed Research International, ID 286419. (2012 IF: 2.880) (ESI)
36. Shou-Hui Guo, En-Ze Deng, Li-Qin Xu, Hui Ding, Hao Lin*, Wei Chen*, Kuo-Chen Chou*. (2014) iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition. Bioinformatics, 30(11): 1522-1529. (2012 IF: 5.323) (ESI hot)
35. Wei Chen*, Peng-Mian Feng, Hao Lin*, Kuo-Chen Chou. (2014) iSS-PseDNC: identifying splicing sites using pseudo dinucleotide composition. BioMed Research International, ID 623149. (2012 IF: 2.880) (ESI)
34. Wei Chen*, Tian-Yu Lei, Dian-Chuan Jin, Hao Lin*, Kuo-Chen Chou*. (2014) PseKNC: a flexible web server for generating pseudo K-tuple nucleotide composition. Analytical Biochemistry, 456: 53-60. (2012 IF: 2.582) (ESI)
33. Pengmian Feng*, Hao Lin*, Wei Chen, Yongchun Zuo. (2014) Predicting the types of J-proteins using clustered amino acids. BioMed Research International, ID 935719. (2012 IF: 2.880)
32. Wei Chen*, Hao Lin*, Pengmian Feng. (2014) DNA physical parameters modulate nucleosome positioning in the Saccharomyces cerevisiae genome. Current Bioinformatics, 9(2): 188-193. (2012 IF: 2.017)
31. Hao Lin*, Wei Chen*, Hui Ding. (2013) AcalPred: A sequence-based tool for discriminating between acidic and alkaline enzymes. PloS One, 8(10): e75726. (2011 IF: 4.092)
30. Peng-Mian Feng, Wei Chen*, Hao Lin*, Kuo-Chen Chou*. (2013) iHSP-PseRAAAC: Identifying the heat shock protein families using pseudo reduced amino acid alphabet composition. Analytical Biochemistry, 442(1): 118-125. (2012 IF: 2.582) (ESI)
29. Peng-Mian Feng, Hao Lin*, Wei Chen*. (2013) Identification of antioxidants from sequence information using Naive Bayes. Computational and Mathematical Methods in Medicine, ID 567529. (2012 IF: 0.791)
28. Hao Lin*, Wei Chen*, Lu-Feng Yuan, Zi-Qiang Li, Hui Ding. (2013) Using over-represented tetrapeptides to predict protein submitochondria locations. Acta Biotheoretica, 61(2): 259-268. (2012 IF: 0.95) {Featured as Key Scientific Article in Global Medical Discovery}
27. Peng-Mian Feng, Hui Ding, Wei Chen*, Hao Lin*. (2013) Naive Bayes classifier with feature selection to identify phage virion proteins. Computational and Mathematical Methods in Medicine, ID 530696. (2012 IF: 0.791) (ESI)
26. Hui Ding*, Shou-Hui Guo, En-Ze Deng, Lu-Feng Yuan, Feng-Biao Guo, Jian Huang, Nini Rao, Wei Chen*, Hao Lin*. (2013) Prediction of Golgi-resident protein types by using feature selection technique. Chemometrics and Intelligent Laboratory Systems, 124: 9-13. (2012 IF: 2.291)
25. Wei Chen*, Peng-Mian Feng, Hao Lin*, Kuo-Chen Chou*. (2013) iRSpot-PseDNC: Identify recombination spots with pseudo dinucleotide composition. Nucleic Acids Research, 41(6): e68. (2012 IF: 8.278) (ESI)
24. Hao Lin*, Chen Ding, Lu-Feng Yuan, Wei Chen*, Hui Ding, Zi-Qiang Li, Feng-Biao Guo, Jian Huang, Ni-Ni Rao. (2013) Predicting subchloroplast locations of proteins based on the general form of Chou's pseudo amino acid composition: approached from optimal tripeptide composition. International Journal of Biomathematics, 6(2): 1350003. (2012 IF: 0.63)
23. Hui Ding, Hao Lin*, Juan Feng. (2013) The rate of opening and closing of the DNA gate for topoisomerase II. Theory in Biosciences, 132(1): 61-64. (2012 IF: 0.925)
22. Lu-Feng Yuan, Chen Ding, Shou-Hui Guo, Hui Ding*, Wei Chen*, Hao Lin*. (2013) Prediction of the types of ion channel-targeted conotoxins based on Radial Basis Function Network. Toxicology in Vitro, 27: 852-856. (2011 IF: 2.775)
21. Chen Ding, Lu-Feng Yuan, Shou-Hui Guo, Hao Lin*, Wei Chen*. (2012) Identification of mycobacterial membrane proteins and their types using over-represented tripeptide compositions. Journal of Proteomics, 77: 321-328. (2010 IF: 5.074)
20. Wei Chen*, Hao Lin*, Peng-Mian Feng, Chen Ding, Yong-Chun Zuo, Kuo-Chen Chou*. (2012) iNuc-PhysChem: A sequence-based predictor for identifying nucleosomes via physicochemical properties. PLoS One, 7(10): e47843. (2010 IF: 4.411) {Reported by VerticalNews} (ESI)
19. Wei Feng, Hui Ding*, Hao Lin, Liao-Fu Luo. (2012) The lysogeny/lysis switch and entropies of stationary states in λ phage. Acta Physica Sinica (in chinese), 61(16): 168701. (2012 IF: 1.016)
18. Hao Lin*, Chen Ding, Qiang Song, Ping Yang, Hui Ding, Ke-Jun Deng, Wei Chen*. (2012) The prediction of protein structural class using averaged chemical shifts. Journal of Biomolecular Structure & Dynamics, 29(6): 643-648. (2010 IF: 4.986)
17. Wei Chen*, Pengmian Feng, Hao Lin*. (2012) Prediction of replication origins by calculating DNA structural properties. FEBS Letters, 586(6): 934-938. (2012 IF: 3.582)
16. Wei Chen*, Hao Lin*. (2012) Identification of voltage-gated potassium channel subfamilies from sequence information using support vector machine. Computers in Biology and Medicine, 42(4): 504-507. (2012 IF: 1.162)
15. Wei Chen*, Pengmian Feng, Hao Lin*. (2012) Prediction of ketoacyl synthase family using reduced amino acid alphabet. Journal of Industrial Microbiology & Biotechnology, 39(4): 579-584. (2011 IF: 2.735)
14. Hui Ding*, Liao-Fu Luo, Hao Lin. (2011) Entropy production rate changes in lysogeny/lysis switch regulation of bacteriophage lambda. Communications in Theoretical Physics, 55(2): 371-375. (2011 IF: 0.747)
13. Hao Lin*, Qian-Zhong Li. (2011) Eukaryotic and prokaryotic promoter prediction using hybrid approach. Theory in Biosciences, 130(2): 91-100. (2011 IF: 0.979)
12. Hao Lin*, Wei Chen. (2011) Prediction of thermophilic proteins using feature selection technique. Journal of Microbiological Methods, 84(1): 67-70. (2011 IF: 2.086)
11. Hui Ding, Li Liu, Feng-Biao Guo, Jian Huang, Hao Lin*. (2011) Identify Golgi protein types with modified Mahalanobis discriminant algorithm and pseudo amino acid composition. Protein & Peptide Letters, 18(1): 58-63. (2011 IF: 1.942)
10. Hao Lin*, Hui Ding. (2011) Predicting ion channels and their types by the dipeptide mode of pseudo amino acid composition. Journal of Theoretical Biology, 269(1): 64-69. (2011 IF: 2.208)
9. Hao Lin*, Hui Ding, Feng-Biao Guo, Jian Huang. (2010) Prediction of subcellular location of mycobacterial protein using feature selection techniques. Molecular Diversity, 14(4): 667-671. (2010 IF: 3.721)
8. Wei Chen*, Hao Lin*. (2010) Prediction of midbody, centrosome and kinetochore proteins based on gene ontology information. Biochemical and Biophysical Research Communications, 401(3): 382-384. (2010 IF: 2.595)
7. Hui Ding, Liaofu Luo*, Hao Lin. (2009) Prediction of cell wall lytic enzymes using Chou's amphiphilic pseudo amino acid composition. Protein & Peptide Letters, 16(4): 351-355. (2009 IF: 1.755) (ESI)
6. Hao Lin*, Hao Wang, Hui Ding, Ying-Li Chen, Qian-Zhong Li. (2009) Prediction of subcellular localization of apoptosis protein using Chou's pseudo amino acid composition. Acta Biotheoretica, 57(3): 321-330. (2009 IF: 1.394)
5. Hui Ding*, Liaofu Luo. (2009) Kinetic model of the lysogeny/lysis switch of phage λ. Chinese Physics Letter, 26(9): 098701. (2009 IF: 0.972)
4. Hao Lin*, Hui Ding*, Feng-Biao Guo, An-Ying Zhang, Jian Huang. (2008) Predicting subcellular localization of mycobacterial proteins by using Chou's pseudo amino acid composition. Protein & Peptide Letters, 15(7): 739-744. (2008 IF: 1.281) (ESI)
3. Hao Lin*. (2008) The modified Mahalanobis Discriminant for predicting outer membrane proteins by using chou's pseudo amino acid composition. Journal of Theoretical Biology, 252(2): 350-356. (2008 IF: 2.454) (ESI)
2. Hao Lin, Qian-Zhong Li*. (2007) Using pseudo amino acid composition to predict protein structural class: approached by incorporating 400 dipeptide components. Journal of Computational Chemistry, 28(9): 1463-1466. (2006 IF: 4.893)
1. Hao Lin, Qian-Zhong Li*. (2007) Predicting conotoxin superfamily and family by using pseudo amino acid composition and modified Mahalanobis discriminant. Biochemical and Biophysical Research Communications, 354(2): 548-551. (2005 IF: 3.0)
47. Hongfei Li, Lingyu Cui, Murong Zhou, Quan Zou, Yuming Zhao, Hao Lin, Yingjian Liang, Alfred Wei Chieh Kow, Guohua Wang*. (2024) Single Cell Multi-Omics Data Reveals Heterogeneity in Liver Tissue Microenvironment Induced by Hypertension. Molecular Therapy - Nucleic Acids, 36(4): 102696. (2024 IF: 6.1)
46. Liang Shen, Yonggin liu, Liangzhong Chen, Tingting lei, Ping Ren, Mukan Ji, Weizhi Song, Hao Lin, Wei Su, Sheng Wang, Marianne Rooman, Fabrizio Pucci*. (2024) Genomic basis of environmental adaptation in the widespread poly-extremophilic Exiguobacterium group. The ISME Journal, 18(1): wrad020. (2022 IF: 11.0)
45. Liping Ren, Danni Huang, Hongjiang Liu, Lin Ning, Peiling Cai,Xiaolong Yu, Yang Zhang, Nanchao Luo, Hao Lin, Jinsong Su*,Yinghui Zhang*. (2023) Applications of single‑cell omics and spatial transcriptomics technologies in gastric cancer. Oncology Letters, 27(4): 152. (2022 IF: 2.9)
44. Bin Liu, Ziman Yang, Qing Liu, Ying Zhang, Hui Ding, Hongyan Lai, Qun Li. (2023) Computational prediction of allergenic proteins based on multi-feature fusion. Frontiers in Genetics, 14:1294159. (2022 IF: 3.7)
43. Shaoqin Shen, Nan Li, Yujie Wang, Rong Zhou, Pengchuan Sun, Hao Lin, Wei Chen, Tong Yu, Zhuo Liu, Zhiyuan Wang, Xiao Tan, Changping Zhu, Shuyan Feng, Yu Zhang, Xiaoming Song (2022) High-quality ice plant reference genome analysis provides insights into genome evolution and allows exploration of genes involved in the transition from C3 to CAM pathways. Plant Biotechnology Journal, 10.1111/pbi.13892. (2020 IF: 13.26)
42. Kyle Hippe, Cade Lilley, Joshua William Berkenpas, Ciri Chandana Pocha, Kiyomi Kishaba, Hui Ding, Jie Hou, Dong Si, Renzhi Cao (2022) ZoomQA: residue-level protein model accuracy estimation with machine learning on sequential and 3D structural features. Briefings in Bioinformatics, 23(1):bbab384. (2020 IF: 11.622)
41. Xiao-Ming Song, Jingjing Hu, Tong Wu, Qihang Yang, Xuehuan Feng, Hao Lin, Shuyan Feng, Chunlin Cui, Ying Yu, Rong Zhou, Ke Gong, Tong Yu, Qiaoying Pei, Nan Li (2020) Comparative analysis of long non-coding RNAs in angiosperm and characterization of long non-coding RNAs in response to heat stress in Chinese cabbage. Horticulture Research, 8(1): 48. (2019 IF: 3.640)
40. Xiaoming Song, Pengchuan Sun, Jiaqing Yuan, Ke Gong, Nan Li, Fanbo Meng, Zhikang Zhang, Xinyu Li, Jingjing Hu, Jinpeng Wang, Qihang Yang, Beibei Jiao, Fulei Nie, Tao Liu, Wei Chen, Shuyan Feng, Qiaoying Pei, Tong Yu, Xi Kang, Wei Zhao, Chunlin Cui, Ying Yu, Tong Wu, Lanxing Shan, Man Liu, Zhiji Qin, Hao Lin, Rajeev K Varshney, Xiu-Qing Li, Andrew H Paterson, Xiyin Wang* (2020) The Celery Genome Sequence Reveals Sequential Paleo-Polyploidizations, Karyotype Evolution, and Resistance Gene Reduction in Apiales. Plant Biotechnology Journal, 19: 731–744. (2019 IF: 8.15)
39. Zhibin Lv, Hui Ding, Lei Wang, Quan Zou*. (2020) A Convolutional Neural Network Using Dinucleotide One-hot Encoder for identifying DNA N6-Methyladenine Sites in the Rice Genome. Neurocomputing, 422: 214-221. (2019 IF: 4.438)
38. Jia-Nan Sun, Hua-Yi Yang, Jing Yao, Hui Ding, Shu-Guang Han*,Cheng-Yan Wu*, Hua Tang*. (2020) Prediction of Cyclin Protein Using Two-Step Feature Selection Technique. IEEE Access, 8: 109535-109542. (2019 IF: 3.745)
37. Lijun Dou, Xiaoling Li, Hui Ding, Lei Xu*, Huaikun Xiang*. (2020) CirRNAPL: A web server for the identification of circRNA based on extreme learning machine. Molecular Therapy - Nucleic Acids, 21: 332-342. (2019 IF: 7.032)
36. Mengting Niu, Jun Zhang, Yanjuan Li, Cankun Wang, Zhaoqian Liu, Hui Ding, Quan Zou*, Qin Ma*. (2020) Application and Development of Artificial Intelligence and Intelligent Disease Diagnosis. Computational and Structural Biotechnology Journal, 18: 834-842. (2019 IF: 6.018)
35. Shanwen Sun, Hui Ding, Donghua Wang, Shuguang Han. (2020) Identifying Antifreeze Proteins Based on Key Evolutionary Information. Frontiers in Bioengineering and Biotechnology, 8: 244. (2019 IF: 3.644)
34. Chunyan Ao, Shunshan Jin, Hui Ding, Quan Zou, Liang Yu*. (2020) Application and Development of Artificial Intelligence and Intelligent Disease Diagnosis. Current Pharmaceutical Design, 26(26): 3069-3075. (2018 IF: 2.412)
33. Xiaoqing Ru, Lida Wang*, Lihong Li, Hui Ding, Xiucai Ye, Quan Zou*. (2020) Exploration of the correlation between GPCRs and drugs based on a learning to rank algorithm. Computers in Biology and Medicine,119: 103660. (2018 IF: 2.286)
32. Ahsan Ahmad, Hao Lin, Swakkhar Shatabda*. (2020) Locate-R: Subcellular Localization of Long Non-Coding RNAs Using Nucleotide Compositions. Genomics, DOI:10.1016/j.ygeno.2020.02.011. (2018 IF: 3.160)
31. Zhibin Lv, Jun Zhang, Hui Ding, Quan Zou*. (2020) RF-PseU: A Random Forest Predictor for RNA Pseudouridine Sites. Frontiers in Bioengineering and Biotechnology, 8, 134. (2018 IF: 5.122)
30. Jun Wang, Pu-Feng Du*, Xin-Yu Xue, Guang-Ping Li, Yuan-Ke Zhou, Wei Zhao, Hao Lin, Wei Chen*. (2019) VisFeature: a stand-alone program for visualizing and analyzing statistical features of biological sequences. Bioinformatics, 36(4): 1277-12789. (2018 IF: 4.531)
29. Zhibin Lv, Donghua Wang, Hui Ding, Bineng Zhong*, Lei Xu*. (2020) Escherichia Coli DNA N-4-Methycytosine Site Prediction Accuracy Improved by Light Gradient Boosting Machine Feature Selection Technology. IEEE Access, 8: 14851-14859. (2018 IF: 4.098)
28. Shanwen Sun, Chunyu Wang, Hui Ding, Quan Zou*. (2019) Machine learning and its applications in plant molecular studies. Briefings in Functional Genomics, 19(1): 40–48. (2018 IF: 3.133)
27. Lijun Dou, Xiaoling Li, Hui Ding, Lei Xu*, Huaikun Xiang*. (2019) Is There Any Sequence Feature in the RNA Pseudouridine Modification Prediction Problem?. Molecular Therapy - Nucleic Acids, 19, 293-303. (2018 IF: 5.919)
26. Zhibin Lv, Shunshan Jin, Ziwei Wang, Hui Ding, Quan Zou*. (2019) A random forest sub-Golgi protein classifier optimized via dipeptide and amino acid composition features. Frontiers in Bioengineering and Biotechnology, 7: 215. (2018 IF: 5.122) (ESI)
25. Yang Zhang, Tianyuan Liu, Liqun Chen, Jinxurong Yang, Jiayi Yin, Hao Xu, Zhixi Yun, Lin Ning, Fengbiao Guo, Yongshuai Jiang, Hao Lin, Yan Huang*, Dong Wang*, Jian Huang*. (2019) RIscoper: a tool for RNA-RNA interaction extraction from literatures. Bioinformatics, 35 (17), 3199-3202. (2017 IF: 5.481)
24. Pengmian Feng*, Zhaochun Xu, Hui Yang, Hao Lv, Hui Ding, Li Liu*. (2019) Identification of D-modification sites by integrating heterogeneous features in Saccharomyces cerevisiae. Molecules, 24(3): 380. (2017 IF: 3.098)
23. Ning Li, Juanjuan Kang, Lixu Jiang, Bifang He, Hao Lin, Jian Huang*. (2017) PSBinder: A Web Service for Predicting Polystyrene Surface-Binding Peptides. BioMed Research International, 2017: 5761517. (2015 IF: 2.476).
22. Chuan Dong, Ya-Zhou Yuan, Fa-Zhan Zhang, Hong-Li Hua, Yuan-Nong Ye, Abraham Alemayehu Labena, Hao Lin, Wei Chen, Feng-Biao Guo*. (2016) Combining pseudo dinucleotide composition with the Z curve method to improve the accuracy of predicting DNA elements: a case study in recombination spots. Molecular BioSystems, 12(9): 2893-2900. (2015 IF: 2.829).
21. Bifang He, Guoshi Chai, Yaocong Duan, Zhiqiang Yan, Liuyang Qiu, Huixiong Zhang, Zechun Liu, Qiang He, Ke Han, Beibei Ru, Feng-Biao Guo, Hui Ding, Hao Lin, Xianlong Wang, Nini Rao, Peng Zhou, Jian Huang*. (2016) BDB: biopanning data bank. Nucleic Acids Research, 44: D1127-D1132. (2014 IF: 9.112).
20. Wei Chen*, Hong Tran, Zhiyong Liang, Hao Lin, and Liqing Zhang*. (2015) Identification and analysis of the N6-methyladenosine in the Saccharomyces cerevisiae transcriptome. Scientific Reports, 5: 13859. (2014 IF: 5.578).
19. Qiang Tang, Fulei Nie, Hui Ding, Peng Zhou, Jian Huang*. (2015) NIEluter: Predicting peptides eluted from HLA class I molecules. Journal of Immunological Methods, 422: 22-27. (2013 IF: 2.005).
18. Xiong Wang, Hao Lin, Yu Zheng, Juan Feng, Zujun Yang, Lixia Tang*. (2015) MDC-Analyzer-facilitated combinatorial strategy for improving the activity and stability of halohydrin dehalogenase from Agrobacterium radiobacter AD1. Journal of Biotechnology, 206: 1-7. (2013 IF: 2.884).
17. Wei Chen*, Xitong Zhang, Jordan Brooker, Hao Lin, Liqing Zhang*, Kuo-Chen Chou*. (2015) PseKNC-General: A cross-platform package for generating various modes of pseudo nucleotide compositions. Bioinformatics, 31(1): 119-120. (2013 IF: 4.621). (ESI)
16. Ziqiang Li, Mingtian Zhou, Hao Lin, Haibo Pu. (2014) A two stages sparse SVM training. International Journal of Machine Learning and Cybernetics, 5(3): 425-434. (2016 IF: 1.699)
15. Boyu Li, Nini Rao*, Dingyu Liu, Yang Yang, Dingyun Liu, Hanming Liu, Tao Gan, Hui Ding, Hao Lin. (2014) Analysis of connection networks among miRNAs differentially expressed in early gastric cancer for disclosing some biological features of disease development. Gene, 548(2): 159-165. (2012 IF: 2.196)
14. Lv-Wen Ning, Hao Lin, Hui Ding, Jian Huang, Nini Rao, Feng-Biao Guo. (2014) Predicting bacterial essential genes using only sequence composition information. Genetics and Molecular Research, 13(2): 4564-4572. (2012 IF: 0.994)
13. Yonge Feng*, Hao Lin, Liaofu Luo. (2014) Prediction of protein secondary structure using feature selection and analysis approach. Acta Biotheoretica, 62(1): 1-14. (2013 IF: 1.231)
12. Ziqiang Li*, Mingtian Zhou, Lijia Xu, Hao Lin, Haibo Pu.(2014) Training sparse SVM on the core sets of fitting-planes. Neurocomputing, 130: 20-27. (2012 IF: 1.634)
11. Beibei Ru, Peter A.C.'T Hoen, Fulei Nie, Hao Lin, Feng-Biao Guo, Jian Huang*. (2014) Phd7faster: predicting clones propagating faster from the PH.D.-7 phage display peptide library. Journal of Bioinformatics and Computational Biology, 12(1)：1450005. (2013 IF: 0.931)
10. Li Liu, Qian-Zhong Li*, Hao Lin, Yong-Chun Zuo. (2013) The effect of regions flanking target site on siRNA potency. Genomics, 102(4): 215-222. (2012 IF: 3.01)
9. Feng-Biao Guo*, Wen Wei, Xian-Long Wang, Hao Lin, Hui Ding, Jian Huang, Nini Rao. (2012) Co-evolution of genomic islands and their bacterial hosts revealed through phylogenetic analyses of 17 groups of homologous genomic islands. Genetics and Molecular Research, 11(4): 3735-3743. (2012 IF: 0.994)
8. Jian Huang*, Beibei Ru, Ping Zhu, Fulei Nie, Jun Yang, Xuyang Wang, Ping Dai, Hao Lin, Feng-biao Guo, Nini Rao. (2012) MimoDB 2.0: a mimotope database and beyond. Nucleic Acids Research, 40(Database issue): D271-D277. (2012 IF: 8.278)
7. Feng-Biao Guo*, Lu-Wen Ning, Jian Huang, Hao Lin, Hui-Xiong Zhang. (2010) Chromosome translocation and its consequence in the genome of Burkholderia cenocepacia AU-1054. Biochemical and Biophysical Research Communications, 403(3-4): 375-379. (2010 IF: 2.595)
6. Jian Huang*, Beibei Ru, Shiyong Li, Hao Lin, Feng-Biao Guo. (2010) SAROTUP: Scanner and reporter of target-unrelated peptides. Journal of Biomedicine and Biotechnology, 2010: 101932. (2010 IF: 1.225)
5. Beibei Ru, Jian Huang*, Ping Dai, Shiyong Li, Zhongkui Xia, Hui Ding, Hao Lin, Feng-Biao Guo, Xianlong Wang. (2010) MimoDB: a new repository for mimotope data derived from phage display technology. Molecules, 15(11): 8279-8288. (2010 IF: 1.988)
4. Feng-Biao Guo*, Hao Lin, Jian Huang. (2009) A plot of G+C content against sequence length of 640 bacterial chromosomes shows the points are widely scattered in the upper triangular area. Chromosome Research, 17(3): 359-364. (2009 IF: 3.23)
3. Qian-Zhong Li*, Hao Lin. (2006) The recognition and prediction of sigma(70) promoters in Escherichia coli K-12. Journal of Theoretical Biology, 242(1): 135-141. (2006 IF: 2.264)
2. Liaofu Luo*, Joseph Molnar, Hui Ding, Xiaogui Lv, Gabriella Spengler. (2006) Physicochemical attack against solid tumors based on the reversal of direction of entropy flow: an attempt to introduce thermodynamics in anticancer therapy. Diagnostic Pathology,1: 43. (2009 IF: 1.29)
1. Liaofu Luo*, Joseph Molnar, Hui Ding, Xiaogui Lv, Gabrilla Splengler. (2006) Ultrasound absorption and entropy production in biological tissue: a novel approach to anticancer therapy. Diagnostic Pathology, 1: 35. (2009 IF: 1.29)