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pyProGA—A PyMOL plugin for protein residue network analysis

The field of protein residue network (PRN) research has brought several useful methods and techniques for structural analysis of proteins and protein complexes. Many of these are ripe and ready to be used by the proteomics community outside of the PRN specialists. In this paper we present software w...

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Autores principales: Sladek, Vladimir, Yamamoto, Yuta, Harada, Ryuhei, Shoji, Mitsuo, Shigeta, Yasuteru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8323899/
https://www.ncbi.nlm.nih.gov/pubmed/34329304
http://dx.doi.org/10.1371/journal.pone.0255167
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author Sladek, Vladimir
Yamamoto, Yuta
Harada, Ryuhei
Shoji, Mitsuo
Shigeta, Yasuteru
Sladek, Vladimir
author_facet Sladek, Vladimir
Yamamoto, Yuta
Harada, Ryuhei
Shoji, Mitsuo
Shigeta, Yasuteru
Sladek, Vladimir
author_sort Sladek, Vladimir
collection PubMed
description The field of protein residue network (PRN) research has brought several useful methods and techniques for structural analysis of proteins and protein complexes. Many of these are ripe and ready to be used by the proteomics community outside of the PRN specialists. In this paper we present software which collects an ensemble of (network) methods tailored towards the analysis of protein-protein interactions (PPI) and/or interactions of proteins with ligands of other type, e.g. nucleic acids, oligosaccharides etc. In parallel, we propose the use of the network differential analysis as a method to identify residues mediating key interactions between proteins. We use a model system, to show that in combination with other, already published methods, also included in pyProGA, it can be used to make such predictions. Such extended repertoire of methods allows to cross-check predictions with other methods as well, as we show here. In addition, the possibility to construct PRN models from various kinds of input is so far a unique asset of our code. One can use structural data as defined in PDB files and/or from data on residue pair interaction energies, either from force-field parameters or fragment molecular orbital (FMO) calculations. pyProGA is a free open-source software available from https://gitlab.com/Vlado_S/pyproga.
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spelling pubmed-83238992021-07-31 pyProGA—A PyMOL plugin for protein residue network analysis Sladek, Vladimir Yamamoto, Yuta Harada, Ryuhei Shoji, Mitsuo Shigeta, Yasuteru Sladek, Vladimir PLoS One Research Article The field of protein residue network (PRN) research has brought several useful methods and techniques for structural analysis of proteins and protein complexes. Many of these are ripe and ready to be used by the proteomics community outside of the PRN specialists. In this paper we present software which collects an ensemble of (network) methods tailored towards the analysis of protein-protein interactions (PPI) and/or interactions of proteins with ligands of other type, e.g. nucleic acids, oligosaccharides etc. In parallel, we propose the use of the network differential analysis as a method to identify residues mediating key interactions between proteins. We use a model system, to show that in combination with other, already published methods, also included in pyProGA, it can be used to make such predictions. Such extended repertoire of methods allows to cross-check predictions with other methods as well, as we show here. In addition, the possibility to construct PRN models from various kinds of input is so far a unique asset of our code. One can use structural data as defined in PDB files and/or from data on residue pair interaction energies, either from force-field parameters or fragment molecular orbital (FMO) calculations. pyProGA is a free open-source software available from https://gitlab.com/Vlado_S/pyproga. Public Library of Science 2021-07-30 /pmc/articles/PMC8323899/ /pubmed/34329304 http://dx.doi.org/10.1371/journal.pone.0255167 Text en © 2021 Sladek et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Sladek, Vladimir
Yamamoto, Yuta
Harada, Ryuhei
Shoji, Mitsuo
Shigeta, Yasuteru
Sladek, Vladimir
pyProGA—A PyMOL plugin for protein residue network analysis
title pyProGA—A PyMOL plugin for protein residue network analysis
title_full pyProGA—A PyMOL plugin for protein residue network analysis
title_fullStr pyProGA—A PyMOL plugin for protein residue network analysis
title_full_unstemmed pyProGA—A PyMOL plugin for protein residue network analysis
title_short pyProGA—A PyMOL plugin for protein residue network analysis
title_sort pyproga—a pymol plugin for protein residue network analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8323899/
https://www.ncbi.nlm.nih.gov/pubmed/34329304
http://dx.doi.org/10.1371/journal.pone.0255167
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