Enregistré dans:
Détails bibliographiques
Auteurs principaux: Овчинников, В. И., Karplus, Martin
Format: Recurso digital
Langue:
Publié: Zenodo 2024
Accès en ligne:https://doi.org/10.5281/zenodo.14291817
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866902005215133696
author Овчинников, В. И.
Karplus, Martin
author_facet Овчинников, В. И.
Karplus, Martin
contents <p><span>This is the accepted manuscript version of the work published in its final form as <span>Ovchinnikov v, & Karplus, M. (2025). High'throughput molecular simulations of </span></span>sars<span>'</span>cov<span>'2 receptor binding domain mutants quantify correlations between dynamic fluctuations and protein expression.</span><em> Journal of Computational Chemistry, 46</em><span>(1). <a href="https://doi.org/10.1002/jcc.27512">https://doi.org/10.1002/jcc.27512</a>.</span></p> <p><span>Deposited by </span><a href="http://shareyourpaper.org/"><span>shareyourpaper.org</span></a><span> and </span><a href="http://openaccessbutton.org/"><span>openaccessbutton.org</span></a><span>. 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 </span><a href="http://mailto:help@openaccessbutton.org/"><span>help@openaccessbutton.org</span></a><span>.</span></p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_14291817
institution Zenodo
language
publishDate 2024
publisher Zenodo
record_format zenodo
spellingShingle High‐throughput molecular simulations of <scp>SARS</scp>‐<scp>CoV</scp>‐2 receptor binding domain mutants quantify correlations between dynamic fluctuations and protein expression
Овчинников, В. И.
Karplus, Martin
&lt;p&gt;&lt;span&gt;This is the accepted manuscript version of the work published in its final form as &lt;span&gt;Ovchinnikov v, &amp; Karplus, M.&nbsp;(2025).&nbsp;High'throughput molecular simulations of&nbsp;&lt;/span&gt;&lt;/span&gt;sars&lt;span&gt;'&lt;/span&gt;cov&lt;span&gt;'2 receptor binding domain mutants quantify correlations between dynamic fluctuations and protein expression.&lt;/span&gt;&lt;em&gt;&nbsp;Journal of Computational Chemistry,&nbsp;46&lt;/em&gt;&lt;span&gt;(1). &lt;a href="https://doi.org/10.1002/jcc.27512"&gt;https://doi.org/10.1002/jcc.27512&lt;/a&gt;.&lt;/span&gt;&lt;/p&gt; &lt;p&gt;&lt;span&gt;Deposited by&nbsp;&lt;/span&gt;&lt;a href="http://shareyourpaper.org/"&gt;&lt;span&gt;shareyourpaper.org&lt;/span&gt;&lt;/a&gt;&lt;span&gt;&nbsp;and&nbsp;&lt;/span&gt;&lt;a href="http://openaccessbutton.org/"&gt;&lt;span&gt;openaccessbutton.org&lt;/span&gt;&lt;/a&gt;&lt;span&gt;. 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&nbsp;&lt;/span&gt;&lt;a href="http://mailto:help@openaccessbutton.org/"&gt;&lt;span&gt;help@openaccessbutton.org&lt;/span&gt;&lt;/a&gt;&lt;span&gt;.&lt;/span&gt;&lt;/p&gt;
title High‐throughput molecular simulations of <scp>SARS</scp>‐<scp>CoV</scp>‐2 receptor binding domain mutants quantify correlations between dynamic fluctuations and protein expression
url https://doi.org/10.5281/zenodo.14291817