High‐throughput molecular simulations of SARS‐CoV‐2 receptor binding domain mutants quantify correlations between dynamic fluctuations and protein expression

This is the accepted manuscript version of the work published in its final form as Ovchinnikov v, & Karplus, M. (2025). High'throughput molecular simulations of sars'cov'2 receptor binding domain mutants quantify correlations between dynamic fluctuations and protein expression. Journal of Computational Chemistry, 46(1). https://doi.org/10.1002/jcc.27512. Deposited by shareyourpaper.org and openaccessbutton.org. We've taken reasonable steps to ensure this content doesn't violate copyright. However, if you think it does you can request a takedown by emailing [email protected].

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-15
DOI
https://doi.org/10.5281/zenodo.14291817
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
0.00
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article

High‐throughput molecular simulations of SARS‐CoV‐2 receptor binding domain mutants quantify correlations between dynamic fluctuations and protein expression

Zenodo (CERN European Organization for Nuclear Research)
SARS-CoV-2 and COVID-19 Research
article

High‐throughput molecular simulations of SARS‐CoV‐2 receptor binding domain mutants quantify correlations between dynamic fluctuations and protein expression

article en

Abstract

This is the accepted manuscript version of the work published in its final form as Ovchinnikov v, & Karplus, M. (2025). High'throughput molecular simulations of sars'cov'2 receptor binding domain mutants quantify correlations between dynamic fluctuations and protein expression. Journal of Computational Chemistry, 46(1). https://doi.org/10.1002/jcc.27512. Deposited by shareyourpaper.org and openaccessbutton.org. We've taken reasonable steps to ensure this content doesn't violate copyright. However, if you think it does you can request a takedown by emailing [email protected].

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 53%
SARS-CoV-2 and COVID-19 Research
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High‐throughput molecular simulations of SARS‐CoV‐2 receptor binding domain mutants quantify correlations between dynamic fluctuations and protein expression · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS