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Critical interactions for SARS-CoV-2 spike protein binding to ACE2 identified by machine learning

Critical interactions for SARS-CoV-2 spike protein binding to ACE2 identified by machine learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2504843919

Critical interactions for SARS-CoV-2 spike protein binding to ACE2 identified by machine learning

About this item

Full title

Critical interactions for SARS-CoV-2 spike protein binding to ACE2 identified by machine learning

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

Journal title

bioRxiv, 2021-03

Language

English

Formats

Publication information

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

More information

Scope and Contents

Contents

ABSTRACT Both SARS-CoV and SARS-CoV-2 bind to the human ACE2 receptor. Based on high-resolution structures, the two viruses bind in practically identical conformations, although several residues of the receptor-binding domain (RBD) differ between them. Here we have used molecular dynamics (MD) simulations, machine learning (ML), and free energy per...

Alternative Titles

Full title

Critical interactions for SARS-CoV-2 spike protein binding to ACE2 identified by machine learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2504843919

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2504843919

Other Identifiers

ISSN

2692-8205

E-ISSN

2692-8205

DOI

10.1101/2021.03.19.436231

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