Hao Lin Hui Ding Research Scientist Students Postdoc Visiting Scholars Alumni Position

Wei Su Ph.D. candidate

Wei Su is the Ph.D. candidate of Center for Informational Biology and the Key Laboratory for NeuroInformation of Ministry of Education in UESTC (Superviser: Hao Lin). His research focus is pattern recognition of gene sequence function.

E-mail: 820229344@qq.com


Education and Training

2021-now Ph.D. candidate in Bioinformatics, University of Electronic Science and Technology, Sichuan, China

2019-2021 M.S in Bioinformatics, University of Electronic Science and Technology, Sichuan, China

2015-2019 B.S in Biotechnology, University of Electronic Science and Technology, Sichuan, China


Published Papers

10. 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*. (2022) 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)

9. 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. doi: 10.1016/j.jmb.2021.166860. (2020 IF: 5.469)

8. Wei Su&, Fang Wang&, Jiu-Xin Tan, Fu-Ying Dao, Hui Yang, Hui Ding*. (2020) The prediction of human DNase I hypersensitive sites based on DNA sequence information. Chemometrics and Intelligent Laboratory Systems, 209: 104223. doi: 10.1016/j.chemolab.2020.104223. (2020 IF: 3.491)

7. Yu-He Yang, Jia-Shu Wang, Shi-Shi Yuan, Meng-Lu Liu, Wei Su, Zhao-Yue Zhang*, Hao Lin*. (2021) A Survey for Predicting ATP Binding Residues of Proteins Using Machine Learning Methods. Current Medicinal Chemistry, doi: 10.2174/0929867328666210910125802.(2020 IF: 4.53)

6. 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, doi: 10.1093/bib/bbab047. (2020 IF: 11.622)

5. 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, doi: 10.1093/bib/bbaa017. (2020 IF: 11.622)

4. 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. doi: 10.1093/bioinformatics/btaa702. (2019 IF: 5.610)

3. 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, doi: 10.1016/j.isci.2020.100991. (2019 IF: 4.447)

2. Liu ML, Su W, Guan ZX, Zhang D, Chen W*, Liu L*, Ding H*. (2020) An Overview on Predicting Protein Subchloroplast Localization by using Machine Learning Methods. Current Protein and Peptide Science, 21(12):1229-1241. doi: 10.2174/1389203721666200117153412. (2019 IF: 2.520)

1. 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. doi: 10.1016/j.omtn.2020.07.035. (2018 IF: 5.919)