Dataset Open Access
Martín Soñora;
Exequiel Barrera;
Pablo Garay;
Florencia Klein;
Matías Machado;
Sergio Pantano
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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 <a href=\"https://pubs.acs.org/doi/10.1021/acs.jctc.9b00006\">Machado et al. JCTC 2019</a>, adding 150 mM NaCl according to <a href=\"https://pubs.acs.org/doi/10.1021/acs.jctc.9b00953\">Machado & Pantano JCTC 2020</a>. </p>\n\n<p>The file 6W37_SIRAHcg_rawdata.tar contains all the raw information required to visualize (on VMD), analyze, backmap, and eventually, continue the simulations using Amber18 or higher. Step-By-Step tutorials for running, visualizing, and analyzing CG trajectories using <a href=\"https://academic.oup.com/bioinformatics/article/32/10/1568/1743152\">SirahTools</a> can be found at www.sirahff.com.</p>\n\n<p>Additionally, the file 6W37_SIRAHcg_10us_prot.tar contains only the protein coordinates, while 6W37_SIRAHcg_10us_prot_skip10ns.tar contains one frame every 10ns.</p>\n\n<p>To take a quick look at the trajectory:</p>\n\n<p>1- Untar the file 6W37_SIRAHcg_10us_prot_skip10ns.tar</p>\n\n<p>2- Open the trajectory on VMD using the command line:</p>\n\n<p>vmd 6w37_SIRAHcg_prot.prmtop 6w37_SIRAHcg_prot.ncrst 6w37_SIRAHcg_prot_10us_skip10ns.nc -e sirah_vmdtk.tcl</p>\n\n<p>Note that you can use normal VMD drawing methods as vdw, licorice, etc., and coloring by restype, element, name, etc. </p>\n\n<p>This dataset is part of the SIRAH-CoV2 initiative.</p>\n\n<p>For further details, please contact Martín Soñora (msonora@pasteur.edu.uy) or Sergio Pantano (spantano@pasteur.edu.uy).</p>", "language": "eng", "title": "SIRAH-CoV2 initiative: ORF7A enconded accessory protein (PDB id:6W37)", "license": { "id": "CC-BY-4.0" }, "relations": { "version": [ { "count": 1, "index": 0, "parent": { "pid_type": "recid", "pid_value": "3814372" }, "is_last": true, "last_child": { "pid_type": "recid", "pid_value": "3814373" } } ] }, "communities": [ { "id": "covid-19" }, { "id": "zenodo" } ], "version": "SIRAH version 2.2, Amber18", "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)" ], "keywords": [ "Coronavirus", "drug design", "simulation", "SIRAH", "coarse-grain", "CoV2 ORF7a", "COVID-19", "SARS" ], "publication_date": "2020-05-07", "creators": [ { "orcid": "0000-0003-3872-6117", "affiliation": "Institut Pasteur de Montevideo", "name": "Mart\u00edn So\u00f1ora" }, { "orcid": "0000-0002-0388-3078", "affiliation": "Institut Pasteur de Montevideo", "name": "Exequiel Barrera" }, { "orcid": "0000-0001-6604-0329", "affiliation": "Institut Pasteur de Montevideo", "name": "Pablo Garay" }, { "orcid": "0000-0003-4099-9907", "affiliation": "Institut Pasteur de Montevideo", "name": "Florencia Klein" }, { "orcid": "0000-0002-9971-4710", "affiliation": "Institut Pasteur de Montevideo", "name": "Mat\u00edas Machado" }, { "orcid": "0000-0001-6435-4543", "affiliation": "Institut Pasteur de Montevideo", "name": "Sergio Pantano" } ], "access_right": "open", "resource_type": { "type": "dataset", "title": "Dataset" }, "related_identifiers": [ { "scheme": "url", "identifier": "https://pubs.acs.org/doi/10.1021/acs.jctc.9b00006", "relation": "cites", "resource_type": "publication-article" }, { "scheme": "url", "identifier": "https://pubs.acs.org/doi/10.1021/acs.jctc.9b00953", "relation": "cites", "resource_type": "publication-article" }, { "scheme": "url", "identifier": "https://academic.oup.com/bioinformatics/article/32/10/1568/1743152", "relation": "cites", "resource_type": "publication-article" }, { "scheme": "doi", "identifier": "10.5281/zenodo.3814372", "relation": "isVersionOf" } ] } }
All versions | This version | |
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Views | 460 | 460 |
Downloads | 8 | 8 |
Data volume | 8.7 GB | 8.7 GB |
Unique views | 441 | 441 |
Unique downloads | 5 | 5 |