DrugMoaMiner: A computational tool for mechanism of action discovery and personalized drug sensitivity prediction. - Fuhai Li 001; Lin Wang 065; Ren Kong; Jianting Sheng; Huojun Cao; James J. Mancuso; Xiaofeng Xia; Clifford Stephan; Stephen T. C. Wong (BHI, 2016)

CoDockPP: A Multistage Approach for Global and Site-Specific Protein-Protein Docking. - Ren Kong; Feng Wang; Jian Zhang 037; Fengfei Wang; Shan Chang (J. Chem. Inf. Model., 2019)

COVID-19 Docking Server: a meta server for docking small molecules, peptides and antibodies against potential targets of COVID-19. - Ren Kong; Guangbo Yang; Rui Xue; Ming Liu; Feng Wang; Jianping Hu; Xiaoqiang Guo; Shan Chang (Bioinform., 2020)

DePS: An improved deep learning model for de novo peptide sequencing. - Cheng Ge; Yi Lu; Jia Qu; Liangxu Xie; Feng Wang; Hong Zhang; Ren Kong; Shan Chang (CoRR, 2022)

nCoVDock2: a docking server to predict the binding modes between COVID-19 targets and its potential ligands. - Kai Liu; Xufeng Lu; Hang Shi; Xiaojun Xu; Ren Kong; Shan Chang (Nucleic Acids Res., 2023)

CoDock-Ligand: combined template-based docking and CNN-based scoring in ligand binding prediction. - Mingwei Pang; Wangqiu He; Xufeng Lu; Yuting She; Liangxu Xie; Ren Kong; Shan Chang (BMC Bioinform., 2023)