Theoretical and Computational Chemistry

Computational Prediction of Mutational Effects on the SARS-CoV-2 Binding by Relative Free Energy Calculations

Abstract

The ability of coronaviruses infecting humans is invariably associated with their binding strengths to human receptor proteins. Both SARS-CoV-2, initially named 2019-nCoV, and SARS-CoV were reported to utilize angiotensin-converting enzyme 2 (ACE2) as entry receptor of human cells. To better understand the interplay between SARS-CoV-2 and ACE2, we performed computational alanine scanning mutagenesis, on the “hotspot” residues at protein-protein interfaces, by relative free energy calculations. Our results suggested that the binding strengths of SARS-CoV and SARS-CoV-2 to the host receptor are comparable. Free energy calculations showed a promise in assessing the infectious ability of viruses on a physical basis, and can also provide useful information for the design of antiviral drugs.

Content

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