COVID-19 Docking Server: a meta server for docking small molecules, peptides and antibodies against potential targets of COVID-19.
Where this comes from
- Record sourced from PubMed, PMID 32692801.
- Also identified by DOI 10.1093/bioinformatics/btaa645 and PMC identifier 7558834.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
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. 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. http://ncov.schanglab.org.cn. Supplementary data are available at Bioinformatics online.
Medical subject headings
- COVID-19
- Drug Discovery
- Molecular Docking Simulation
- Software