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Boosting the Full Potential of PyMOL with Structural Biology Plugins
Over the past few decades, the number of available structural bioinformatics pipelines, libraries, plugins, web resources and software has increased exponentially and become accessible to the broad realm of life scientists. This expansion has shaped the field as a tangled network of methods, algorit...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9775141/ https://www.ncbi.nlm.nih.gov/pubmed/36551192 http://dx.doi.org/10.3390/biom12121764 |
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author | Rosignoli, Serena Paiardini, Alessandro |
author_facet | Rosignoli, Serena Paiardini, Alessandro |
author_sort | Rosignoli, Serena |
collection | PubMed |
description | Over the past few decades, the number of available structural bioinformatics pipelines, libraries, plugins, web resources and software has increased exponentially and become accessible to the broad realm of life scientists. This expansion has shaped the field as a tangled network of methods, algorithms and user interfaces. In recent years PyMOL, widely used software for biomolecules visualization and analysis, has started to play a key role in providing an open platform for the successful implementation of expert knowledge into an easy-to-use molecular graphics tool. This review outlines the plugins and features that make PyMOL an eligible environment for supporting structural bioinformatics analyses. |
format | Online Article Text |
id | pubmed-9775141 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97751412022-12-23 Boosting the Full Potential of PyMOL with Structural Biology Plugins Rosignoli, Serena Paiardini, Alessandro Biomolecules Review Over the past few decades, the number of available structural bioinformatics pipelines, libraries, plugins, web resources and software has increased exponentially and become accessible to the broad realm of life scientists. This expansion has shaped the field as a tangled network of methods, algorithms and user interfaces. In recent years PyMOL, widely used software for biomolecules visualization and analysis, has started to play a key role in providing an open platform for the successful implementation of expert knowledge into an easy-to-use molecular graphics tool. This review outlines the plugins and features that make PyMOL an eligible environment for supporting structural bioinformatics analyses. MDPI 2022-11-27 /pmc/articles/PMC9775141/ /pubmed/36551192 http://dx.doi.org/10.3390/biom12121764 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Rosignoli, Serena Paiardini, Alessandro Boosting the Full Potential of PyMOL with Structural Biology Plugins |
title | Boosting the Full Potential of PyMOL with Structural Biology Plugins |
title_full | Boosting the Full Potential of PyMOL with Structural Biology Plugins |
title_fullStr | Boosting the Full Potential of PyMOL with Structural Biology Plugins |
title_full_unstemmed | Boosting the Full Potential of PyMOL with Structural Biology Plugins |
title_short | Boosting the Full Potential of PyMOL with Structural Biology Plugins |
title_sort | boosting the full potential of pymol with structural biology plugins |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9775141/ https://www.ncbi.nlm.nih.gov/pubmed/36551192 http://dx.doi.org/10.3390/biom12121764 |
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