Dataset Open Access
Martín Soñora;
Exequiel Barrera;
Pablo Garay;
Florencia Klein;
Matías Machado;
Sergio Pantano
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.3779002</identifier> <creators> <creator> <creatorName>Martín Soñora</creatorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-3872-6117</nameIdentifier> <affiliation>Institut Pasteur de Montevideo</affiliation> </creator> <creator> <creatorName>Exequiel Barrera</creatorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-0388-3078</nameIdentifier> <affiliation>Institut Pasteur de Montevideo</affiliation> </creator> <creator> <creatorName>Pablo Garay</creatorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-6604-0329</nameIdentifier> <affiliation>Institut Pasteur de Montevideo</affiliation> </creator> <creator> <creatorName>Florencia Klein</creatorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-4099-9907</nameIdentifier> <affiliation>Institut Pasteur de Montevideo</affiliation> </creator> <creator> <creatorName>Matías Machado</creatorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-9971-4710</nameIdentifier> <affiliation>Institut Pasteur de Montevideo</affiliation> </creator> <creator> <creatorName>Sergio Pantano</creatorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-6435-4543</nameIdentifier> <affiliation>Institut Pasteur de Montevideo</affiliation> </creator> </creators> <titles> <title>SIRAH-CoV2 initiative: S1 Receptor Binding Domain in complex with human antibody CR3022 (PDBid: 6W41)</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2020</publicationYear> <subjects> <subject>Coronavirus</subject> <subject>drug design</subject> <subject>simulation</subject> <subject>SIRAH</subject> <subject>coarse-grain</subject> <subject>CoV2 RBD</subject> <subject>SARS</subject> <subject>antibody</subject> </subjects> <dates> <date dateType="Issued">2020-04-30</date> </dates> <language>en</language> <resourceType resourceTypeGeneral="Dataset"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3779002</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3779001</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/covid-19</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/zenodo</relatedIdentifier> </relatedIdentifiers> <version>SIRAH version 2.2, Amber18</version> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p>This dataset contains the trajectory of a 12 microseconds-long coarse-grained molecular dynamics simulation of SARS-CoV-2 receptor binding domain in complex with a human antibody CR3022 (PDB id: 6W41).&nbsp;Simulations have been performed using the SIRAH force field running with the Amber18 package at the Uruguayan National Center for Supercomputing (ClusterUY) under the conditions reported in&nbsp;<a href="https://pubs.acs.org/doi/10.1021/acs.jctc.9b00006">Machado et al. JCTC 2019</a>, adding 150 mM NaCl according to&nbsp;<a href="https://pubs.acs.org/doi/10.1021/acs.jctc.9b00953">Machado &amp; Pantano JCTC 2020</a>. Glycans have been removed from the structures.</p> <p>The file&nbsp;6W41_SIRAHcg_rawdata.tar contains all the raw information required to visualize (on VMD), analyze,&nbsp;backmap, and eventually continue the simulations using Amber18 or higher. Step-By-Step tutorials for running, visualizing, and analyzing&nbsp;CG trajectories using&nbsp;<a href="https://academic.oup.com/bioinformatics/article/32/10/1568/1743152">SirahTools</a>&nbsp;can be found at www.sirahff.com.</p> <p>Additionally, the&nbsp;file&nbsp;6W41_SIRAHcg_12us_prot.tar&nbsp;contains only the protein coordinates, while&nbsp;6W41_SIRAHcg_12us_prot_skip10ns.tar contains one frame every 10ns.</p> <p>To take a quick look at the trajectory:</p> <p>1- Untar&nbsp;the file&nbsp;6W41_SIRAHcg_12us_prot_skip10ns.tar</p> <p>2- Open the trajectory on VMD using the command line:</p> <p>vmd 6w41_SIRAHcg_prot.prmtop 6w41_SIRAHcg_prot.ncrst 6w41_SIRAHcg_prot_12us_skip10ns.nc -e sirah_vmdtk.tcl</p> <p>Note that you can use normal VMD drawing methods as vdw, licorice, etc.,&nbsp;and coloring by&nbsp;restype, element, name, etc.&nbsp;</p> <p>This dataset is part of the SIRAH-CoV2&nbsp;initiative.</p> <p>For further details, please contact Mart&iacute;n So&ntilde;ora (msonora@pasteur.edu.uy) or Sergio Pantano (spantano@pasteur.edu.uy).</p></description> <description descriptionType="Other">{"references": ["Machado et al. JCTC 2019 (DOI: 10.1021/acs.jctc.9b00006)", "Machado & Pantano JCTC 2020 (DOI:10.1021/acs.jctc.9b00953)", "Machado & Pantano Bioinformatics 2016 (DOI:10.1093/bioinformatics/btw020)"]}</description> </descriptions> </resource>
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