期刊
BIOINFORMATICS
卷 36, 期 20, 页码 5109-5111出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btaa645
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类别
资金
- National Natural Science Foundation of China [81603152]
- Six Talent Peaks Project in Jiangsu Province [2016-XYDXXJS-020]
- Key Project of Science and Technology Department of Sichuan Province [2020YFS0006]
Motivation: The coronavirus disease 2019 (COVID-19) caused by a new type of coronavirus has been emerging from China and led to thousands of death globally since December 2019. Despite many groups have engaged in studying the newly emerged virus and searching for the treatment of COVID-19, the understanding of the COVID-19 target-ligand interactions represents a key challenge. Herein, we introduce COVID-19 Docking Server, a web server that predicts the binding modes between COVID-19 targets and the ligands including small molecules, peptides and antibodies. Results: Structures of proteins involved in the virus life cycle were collected or constructed based on the homologs of coronavirus, and prepared ready for docking. The meta-platform provides a free and interactive tool for the prediction of COVID-19 target-ligand interactions and following drug discovery for COVID-19.
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