Content area

Abstract

Computationally identifying new targets for existing drugs has drawn much attention in drug repurposing due to its advantages over de novo drugs, including low risk, low costs, and rapid pace. To facilitate the drug repurposing computation, we constructed an automated and parameter-free virtual screening server, namely DrugRep, which performed molecular 3D structure construction, binding pocket prediction, docking, similarity comparison and binding affinity screening in a fully automatic manner. DrugRep repurposed drugs not only by receptor-based screening but also by ligand-based screening. The former automatically detected possible binding pockets of the receptor with our cavity detection approach, and then performed batch docking over drugs with a widespread docking program, AutoDock Vina. The latter explored drugs using seven well-established similarity measuring tools, including our recently developed ligand-similarity-based methods LigMate and FitDock. DrugRep utilized easy-to-use graphic interfaces for the user operation, and offered interactive predictions with state-of-the-art accuracy. We expect that this freely available online drug repurposing tool could be beneficial to the drug discovery community. The web site is http://cao.labshare.cn/drugrep/.

Details

Title
DrugRep: an automatic virtual screening server for drug repurposing
Author
Gan, Jian-hong 1 ; Liu, Ji-xiang 2 ; Liu, Yang 1 ; Chen, Shu-wen 3 ; Dai, Wen-tao 4 ; Xiao, Zhi-Xiong 1 ; Cao, Yang 5 

 Sichuan University, Center of Growth, Metabolism and Aging, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Chengdu, China (GRID:grid.13291.38) (ISNI:0000 0001 0807 1581) 
 Sichuan University, Center of Growth, Metabolism and Aging, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Chengdu, China (GRID:grid.13291.38) (ISNI:0000 0001 0807 1581); Shanghai Engineering Research Center of Pharmaceutical Translation, Shanghai, China (GRID:grid.13291.38) 
 Sichuan University, Center of Growth, Metabolism and Aging, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Chengdu, China (GRID:grid.13291.38) (ISNI:0000 0001 0807 1581); Sichuan University, State Key Laboratory of Biotherapy and Cancer Center, Chengdu, China (GRID:grid.13291.38) (ISNI:0000 0001 0807 1581) 
 Shanghai Engineering Research Center of Pharmaceutical Translation, Shanghai, China (GRID:grid.13291.38); Fudan University, NHC Key Lab of Reproduction Regulation (Shanghai Institute for Biomedical and Pharmaceutical Technologies), Shanghai, China (GRID:grid.8547.e) (ISNI:0000 0001 0125 2443) 
 Sichuan University, Center of Growth, Metabolism and Aging, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Chengdu, China (GRID:grid.13291.38) (ISNI:0000 0001 0807 1581); Microbiology and Metabolic Engineering Key Laboratory of Sichuan Province, Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, Chengdu, China (GRID:grid.13291.38) 
Pages
888-896
Publication year
2023
Publication date
Apr 2023
Publisher
Nature Publishing Group
ISSN
16714083
e-ISSN
17457254
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2791456750
Copyright
© The Author(s), under exclusive licence to Shanghai Institute of Materia Medica, Chinese Academy of Sciences and Chinese Pharmacological Society 2022.