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)