Computational Selectivity Assessment of Protease Inhibitors against SARS-CoV-2.

ABSTRACT: The pandemic of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) poses a serious global health threat. Since no specific therapeutics are available, researchers around the world screened compounds to inhibit various molecular targets of SARS-CoV-2 including its main protease (M^pro) essential for viral replication. Due to the high urgency of these discovery efforts, off-target binding, which is one of the major reasons for drug-induced toxicity and safety-related drug attrition, was neglected. Here, we used molecular docking, toxicity profiling, and multiple molecular dynamics (MD) protocols to assess the selectivity of 33 reported non-covalent inhibitors of SARS-CoV-2 M^pro against eight proteases and 16 anti-targets. The panel of proteases included SAR

SUBMITTER: Fischer A 

PROVIDER: S-EPMC7922391 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature