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PCAViz: An Open-Source Python/JavaScript Toolkit for Visualizing Molecular Dynamics Simulations in the Web Browser
[Image: see text] Molecular dynamics (MD) simulations reveal molecular motions at atomic resolution. Recent advances in high-performance computing now enable microsecond-long simulations capable of sampling a wide range of biologically relevant events. But the disk space required to store an MD traj...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical
Society
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6849643/ https://www.ncbi.nlm.nih.gov/pubmed/31580061 http://dx.doi.org/10.1021/acs.jcim.9b00703 |
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author | Pacheco, Sayuri Kaminsky, Jesse C. Kochnev, Iurii K. Durrant, Jacob D. |
author_facet | Pacheco, Sayuri Kaminsky, Jesse C. Kochnev, Iurii K. Durrant, Jacob D. |
author_sort | Pacheco, Sayuri |
collection | PubMed |
description | [Image: see text] Molecular dynamics (MD) simulations reveal molecular motions at atomic resolution. Recent advances in high-performance computing now enable microsecond-long simulations capable of sampling a wide range of biologically relevant events. But the disk space required to store an MD trajectory increases with simulation length and system size, complicating collaborative sharing and visualization. To overcome these limitations, we created PCAViz, an open-source toolkit for sharing and visualizing MD trajectories via the web browser. PCAViz includes two components: the PCAViz Compressor, which compresses and saves simulation data; and the PCAViz Interpreter, which decompresses the data in users’ browsers and feeds it to any of several browser-based molecular-visualization libraries (e.g., 3Dmol.js, NGL Viewer, etc.). An easy-to-install WordPress plugin enables “plug-and-play” trajectory visualization. PCAViz will appeal to a broad audience of researchers and educators. The source code is available at http://durrantlab.com/pcaviz/, and the WordPress plugin is available via the official WordPress Plugin Directory. |
format | Online Article Text |
id | pubmed-6849643 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | American Chemical
Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-68496432020-10-03 PCAViz: An Open-Source Python/JavaScript Toolkit for Visualizing Molecular Dynamics Simulations in the Web Browser Pacheco, Sayuri Kaminsky, Jesse C. Kochnev, Iurii K. Durrant, Jacob D. J Chem Inf Model [Image: see text] Molecular dynamics (MD) simulations reveal molecular motions at atomic resolution. Recent advances in high-performance computing now enable microsecond-long simulations capable of sampling a wide range of biologically relevant events. But the disk space required to store an MD trajectory increases with simulation length and system size, complicating collaborative sharing and visualization. To overcome these limitations, we created PCAViz, an open-source toolkit for sharing and visualizing MD trajectories via the web browser. PCAViz includes two components: the PCAViz Compressor, which compresses and saves simulation data; and the PCAViz Interpreter, which decompresses the data in users’ browsers and feeds it to any of several browser-based molecular-visualization libraries (e.g., 3Dmol.js, NGL Viewer, etc.). An easy-to-install WordPress plugin enables “plug-and-play” trajectory visualization. PCAViz will appeal to a broad audience of researchers and educators. The source code is available at http://durrantlab.com/pcaviz/, and the WordPress plugin is available via the official WordPress Plugin Directory. American Chemical Society 2019-10-03 2019-10-28 /pmc/articles/PMC6849643/ /pubmed/31580061 http://dx.doi.org/10.1021/acs.jcim.9b00703 Text en Copyright © 2019 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes. |
spellingShingle | Pacheco, Sayuri Kaminsky, Jesse C. Kochnev, Iurii K. Durrant, Jacob D. PCAViz: An Open-Source Python/JavaScript Toolkit for Visualizing Molecular Dynamics Simulations in the Web Browser |
title | PCAViz: An Open-Source Python/JavaScript Toolkit for
Visualizing Molecular Dynamics Simulations in the Web Browser |
title_full | PCAViz: An Open-Source Python/JavaScript Toolkit for
Visualizing Molecular Dynamics Simulations in the Web Browser |
title_fullStr | PCAViz: An Open-Source Python/JavaScript Toolkit for
Visualizing Molecular Dynamics Simulations in the Web Browser |
title_full_unstemmed | PCAViz: An Open-Source Python/JavaScript Toolkit for
Visualizing Molecular Dynamics Simulations in the Web Browser |
title_short | PCAViz: An Open-Source Python/JavaScript Toolkit for
Visualizing Molecular Dynamics Simulations in the Web Browser |
title_sort | pcaviz: an open-source python/javascript toolkit for
visualizing molecular dynamics simulations in the web browser |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6849643/ https://www.ncbi.nlm.nih.gov/pubmed/31580061 http://dx.doi.org/10.1021/acs.jcim.9b00703 |
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