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pyFoldX: enabling biomolecular analysis and engineering along structural ensembles
SUMMARY: Recent years have seen an increase in the number of structures available, not only for new proteins but also for the same protein crystallized with different molecules and proteins. While protein design software has proven to be successful in designing and modifying proteins, they can also...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004634/ https://www.ncbi.nlm.nih.gov/pubmed/35176149 http://dx.doi.org/10.1093/bioinformatics/btac072 |
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author | Radusky, Leandro G Serrano, Luis |
author_facet | Radusky, Leandro G Serrano, Luis |
author_sort | Radusky, Leandro G |
collection | PubMed |
description | SUMMARY: Recent years have seen an increase in the number of structures available, not only for new proteins but also for the same protein crystallized with different molecules and proteins. While protein design software has proven to be successful in designing and modifying proteins, they can also be overly sensitive to small conformational differences between structures of the same protein. To cope with this, we introduce here pyFoldX, a python library that allows the integrative analysis of structures of the same protein using FoldX, an established forcefield and modelling software. The library offers new functionalities for handling different structures of the same protein, an improved molecular parametrization module and an easy integration with the data analysis ecosystem of the python programming language. AVAILABILITY AND IMPLEMENTATION: pyFoldX rely on the FoldX software for energy calculations and modelling, which can be downloaded upon registration in http://foldxsuite.crg.eu/ and its licence is free of charge for academics. The pyFoldX library is open-source. Full details on installation, tutorials covering the library functionality and the scripts used to generate the data and figures presented in this paper are available at https://github.com/leandroradusky/pyFoldX. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-9004634 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-90046342022-04-13 pyFoldX: enabling biomolecular analysis and engineering along structural ensembles Radusky, Leandro G Serrano, Luis Bioinformatics Applications Note SUMMARY: Recent years have seen an increase in the number of structures available, not only for new proteins but also for the same protein crystallized with different molecules and proteins. While protein design software has proven to be successful in designing and modifying proteins, they can also be overly sensitive to small conformational differences between structures of the same protein. To cope with this, we introduce here pyFoldX, a python library that allows the integrative analysis of structures of the same protein using FoldX, an established forcefield and modelling software. The library offers new functionalities for handling different structures of the same protein, an improved molecular parametrization module and an easy integration with the data analysis ecosystem of the python programming language. AVAILABILITY AND IMPLEMENTATION: pyFoldX rely on the FoldX software for energy calculations and modelling, which can be downloaded upon registration in http://foldxsuite.crg.eu/ and its licence is free of charge for academics. The pyFoldX library is open-source. Full details on installation, tutorials covering the library functionality and the scripts used to generate the data and figures presented in this paper are available at https://github.com/leandroradusky/pyFoldX. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2022-02-17 /pmc/articles/PMC9004634/ /pubmed/35176149 http://dx.doi.org/10.1093/bioinformatics/btac072 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Note Radusky, Leandro G Serrano, Luis pyFoldX: enabling biomolecular analysis and engineering along structural ensembles |
title | pyFoldX: enabling biomolecular analysis and engineering along structural ensembles |
title_full | pyFoldX: enabling biomolecular analysis and engineering along structural ensembles |
title_fullStr | pyFoldX: enabling biomolecular analysis and engineering along structural ensembles |
title_full_unstemmed | pyFoldX: enabling biomolecular analysis and engineering along structural ensembles |
title_short | pyFoldX: enabling biomolecular analysis and engineering along structural ensembles |
title_sort | pyfoldx: enabling biomolecular analysis and engineering along structural ensembles |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004634/ https://www.ncbi.nlm.nih.gov/pubmed/35176149 http://dx.doi.org/10.1093/bioinformatics/btac072 |
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