Computer modeling of a potential agent against SARS-Cov-2 (COVID-19) protease

Arthur M. Lesk; Arun S. Konagurthu; Lloyd Allison; Maria Garcia de la Banda; Peter J. Stuckey; David Abramson

doi:10.1002/prot.25980

Computer modeling of a potential agent against SARS-Cov-2 (COVID-19) protease

Arthur M. Lesk, Arun S. Konagurthu, Lloyd Allison, Maria Garcia de la Banda, Peter J. Stuckey, David Abramson

Biochemistry & Molecular Biology

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

We have modeled modifications of a known ligand to the SARS-CoV-2 (COVID-19) protease, that can form a covalent adduct, plus additional ligand-protein hydrogen bonds.

Original language	English (US)
Pages (from-to)	1557-1558
Number of pages	2
Journal	Proteins: Structure, Function and Bioinformatics
Volume	88
Issue number	12
DOIs	https://doi.org/10.1002/prot.25980
State	Published - Dec 1 2020

All Science Journal Classification (ASJC) codes

Structural Biology
Biochemistry
Molecular Biology

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10.1002/prot.25980

Cite this

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title = "Computer modeling of a potential agent against SARS-Cov-2 (COVID-19) protease",

abstract = "We have modeled modifications of a known ligand to the SARS-CoV-2 (COVID-19) protease, that can form a covalent adduct, plus additional ligand-protein hydrogen bonds.",

author = "Lesk, {Arthur M.} and Konagurthu, {Arun S.} and Lloyd Allison and {Garcia de la Banda}, Maria and Stuckey, {Peter J.} and David Abramson",

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AU - Stuckey, Peter J.

AU - Abramson, David

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Computer modeling of a potential agent against SARS-Cov-2 (COVID-19) protease

Abstract

All Science Journal Classification (ASJC) codes

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