Dataset Open Access
Exequiel Barrera;
Pablo Garay;
Florencia Klein;
Matías Machado;
Martín Soñora;
Sergio Pantano
{ "description": "<p>This dataset contains the trajectory of a 10 microseconds-long coarse-grained molecular dynamics simulation of the SARS-CoV2 ORF3a dimeric transmembrane protein (PDB id: 6XDC, Bioassembly 1) embedded in a membrane patch containing POPE, POPC, and POPS phospholipids in a 2:1:1 proportion. 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.9b00435\">Barrera 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 files contain 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. Additionally, </p>\n\n<p>The files 6xdc_SIRAHcg_rawdata_0-2us.tar, 6xdc_SIRAHcg_rawdata_2-4us.tar, 6xdc_SIRAHcg_rawdata_4-6us.tar, 6xdc_SIRAHcg_rawdata_6-8us.tar, and 6xdc_SIRAHcg_rawdata_8-10us.tar contain 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 6XDC_SIRAHcg_10us_prot-memb_skip10ns.tar contains only the protein and phospholipids´ coordinates, with one frame every 10ns.</p>\n\n<p>To take a quick look at the trajectory:</p>\n\n<p>1- Untar the file 6xdc_SIRAHcg_10us_prot-memb_skip10ns.tar</p>\n\n<p>2- Open the trajectory on VMD using the command line:</p>\n\n<p>vmd 6xdc_SIRAHcg_prot-memb.prmtop 6xdc_SIRAHcg_prot-memb.ncrst 6xdc_SIRAHcg_10us_prot-memb_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 Exequiel Barrera (ebarrera@pasteur.edu.uy) or Sergio Pantano (spantano@pasteur.edu.uy).</p>", "license": "https://creativecommons.org/licenses/by/4.0/legalcode", "creator": [ { "affiliation": "Institut Pasteur de Montevideo", "@id": "https://orcid.org/0000-0002-0388-3078", "@type": "Person", "name": "Exequiel Barrera" }, { "affiliation": "Institut Pasteur de Montevideo", "@id": "https://orcid.org/0000-0001-6604-0329", "@type": "Person", "name": "Pablo Garay" }, { "affiliation": "Institut Pasteur de Montevideo", "@id": "https://orcid.org/0000-0003-4099-9907", "@type": "Person", "name": "Florencia Klein" }, { "affiliation": "Institut Pasteur de Montevideo", "@id": "https://orcid.org/0000-0002-9971-4710", "@type": "Person", "name": "Mat\u00edas Machado" }, { "affiliation": "Institut Pasteur de Montevideo", "@id": "https://orcid.org/0000-0003-3872-6117", "@type": "Person", "name": "Mart\u00edn So\u00f1ora" }, { "affiliation": "Institut Pasteur de Montevideo", "@id": "https://orcid.org/0000-0001-6435-4543", "@type": "Person", "name": "Sergio Pantano" } ], "url": "https://zenodo.org/record/4044378", "datePublished": "2020-09-25", "keywords": [ "Coronavirus", "drug design", "simulation", "SIRAH", "coarse-grain", "COVID-19", "SARS" ], "@context": "https://schema.org/", "distribution": [ { "contentUrl": "https://zenodo.org/api/files/255b548f-938d-4484-988b-98d4eb07a589/6xdc_SIRAHcg_10us_prot-memb_skip10ns.tar", "encodingFormat": "tar", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/255b548f-938d-4484-988b-98d4eb07a589/6xdc_SIRAHcg_10us_rawdata_0-2us.tar", "encodingFormat": "tar", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/255b548f-938d-4484-988b-98d4eb07a589/6xdc_SIRAHcg_10us_rawdata_2-4us.tar", "encodingFormat": "tar", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/255b548f-938d-4484-988b-98d4eb07a589/6xdc_SIRAHcg_10us_rawdata_4-6us.tar", "encodingFormat": "tar", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/255b548f-938d-4484-988b-98d4eb07a589/6xdc_SIRAHcg_10us_rawdata_6-8us.tar", "encodingFormat": "tar", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/255b548f-938d-4484-988b-98d4eb07a589/6xdc_SIRAHcg_10us_rawdata_8-10us.tar", "encodingFormat": "tar", "@type": "DataDownload" } ], "identifier": "https://doi.org/10.5281/zenodo.4044378", "@id": "https://doi.org/10.5281/zenodo.4044378", "@type": "Dataset", "name": "SIRAH-CoV2 initiative: Membrane embedded SARS-CoV-2 ORF3a (PDB id:6XDC)" }
All versions | This version | |
---|---|---|
Views | 297 | 297 |
Downloads | 42 | 42 |
Data volume | 297.1 GB | 297.1 GB |
Unique views | 290 | 290 |
Unique downloads | 27 | 27 |