Author: Hall-Swan, Sarah; Antunes, Dinler A.; Devaurs, Didier; Rigo, Mauricio M.; Kavraki, Lydia E.; Zanatta, Geancarlo
Title: DINC-COVID: A webserver for ensemble docking with flexible SARS-CoV-2 proteins Cord-id: v0wc0kzw Document date: 2021_1_22
ID: v0wc0kzw
Snippet: Motivation Recent efforts to computationally identify inhibitors for SARS-CoV-2 proteins have largely ignored the issue of receptor flexibility. We have implemented a computational tool for ensemble docking with the SARS-CoV-2 proteins, including the main protease (Mpro), papain-like protease (PLpro) and RNA-dependent RNA polymerase (RdRp). Results Ensembles of other SARS-CoV-2 proteins are being prepared and made available through a user-friendly docking interface. Plausible binding modes betwe
Document: Motivation Recent efforts to computationally identify inhibitors for SARS-CoV-2 proteins have largely ignored the issue of receptor flexibility. We have implemented a computational tool for ensemble docking with the SARS-CoV-2 proteins, including the main protease (Mpro), papain-like protease (PLpro) and RNA-dependent RNA polymerase (RdRp). Results Ensembles of other SARS-CoV-2 proteins are being prepared and made available through a user-friendly docking interface. Plausible binding modes between conformations of a selected ensemble and an uploaded ligand are generated by DINC, our parallelized meta-docking tool. Binding modes are scored with three scoring functions, and account for the flexibility of both the ligand and receptor. Additional details on our methods are provided in the supplementary material. Availability dinc-covid.kavrakilab.org Supplementary information Details on methods for ensemble generation and docking are provided as supplementary data online. Contact [email protected], [email protected]
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