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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...

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Detalles Bibliográficos
Autores principales: Rosignoli, Serena, Paiardini, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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