Comparing protein structures with RINspector ...
Type de document :
Article dans une revue scientifique
URL permanente :
Titre :
Comparing protein structures with RINspector automation in Cytoscape
Auteur(s) :
Brysbaert, Guillaume [Auteur]
Unité de Glycobiologie Structurale et Fonctionnelle (UGSF) - UMR 8576
Unité de Glycobiologie Structurale et Fonctionnelle - UMR 8576 [UGSF]
Mauri, Theo [Auteur]
Unité de Glycobiologie Structurale et Fonctionnelle - UMR 8576 [UGSF]
Lensink, Marc [Auteur]
Unité de Glycobiologie Structurale et Fonctionnelle - UMR 8576 [UGSF]

Unité de Glycobiologie Structurale et Fonctionnelle (UGSF) - UMR 8576
Unité de Glycobiologie Structurale et Fonctionnelle - UMR 8576 [UGSF]
Mauri, Theo [Auteur]
Unité de Glycobiologie Structurale et Fonctionnelle - UMR 8576 [UGSF]
Lensink, Marc [Auteur]

Unité de Glycobiologie Structurale et Fonctionnelle - UMR 8576 [UGSF]
Titre de la revue :
F1000Research
Numéro :
7
Pagination :
563
Date de publication :
2018-06-22
ISSN :
2046-1402
Mot(s)-clé(s) en anglais :
automation
centrality analysis
cytoscape
flexibility prediction
protein structure
residue interaction network
rinspector
structure ensemble
centrality analysis
cytoscape
flexibility prediction
protein structure
residue interaction network
rinspector
structure ensemble
Discipline(s) HAL :
Chimie/Chimie théorique et/ou physique
Résumé en anglais : [en]
Residue interaction networks (RINs) have been shown to be relevant representations of the tertiary or quaternary structures of proteins, in particular thanks to network centrality analyses. We recently developed the ...
Lire la suite >Residue interaction networks (RINs) have been shown to be relevant representations of the tertiary or quaternary structures of proteins, in particular thanks to network centrality analyses. We recently developed the RINspector 1.0.0 Cytoscape app, which couples centrality analyses with backbone flexibility predictions. This combined approach permits the identification of crucial residues for the folding or function of the protein that can constitute good targets for mutagenesis experiments. Here we present an application programming interface (API) for RINspector 1.1.0 that enables interplay between Cytoscape, RINspector and external languages, such as R or Python. This API provides easy access to batch centrality calculations and flexibility predictions, and allows for the easy comparison of results between different structures. These comparisons can lead to the identification of specific and conserved central residues, and show the impact of mutations to these and other residues on the flexibility of the proteins. We give two use cases to demonstrate the interest of these functionalities and provide the corresponding scripts: the first concerns NMR conformers, the second focuses on mutations in a structure.Lire moins >
Lire la suite >Residue interaction networks (RINs) have been shown to be relevant representations of the tertiary or quaternary structures of proteins, in particular thanks to network centrality analyses. We recently developed the RINspector 1.0.0 Cytoscape app, which couples centrality analyses with backbone flexibility predictions. This combined approach permits the identification of crucial residues for the folding or function of the protein that can constitute good targets for mutagenesis experiments. Here we present an application programming interface (API) for RINspector 1.1.0 that enables interplay between Cytoscape, RINspector and external languages, such as R or Python. This API provides easy access to batch centrality calculations and flexibility predictions, and allows for the easy comparison of results between different structures. These comparisons can lead to the identification of specific and conserved central residues, and show the impact of mutations to these and other residues on the flexibility of the proteins. We give two use cases to demonstrate the interest of these functionalities and provide the corresponding scripts: the first concerns NMR conformers, the second focuses on mutations in a structure.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Établissement(s) :
CNRS
Université de Lille
Université de Lille
Équipe(s) de recherche :
Computational Molecular Systems Biology
Date de dépôt :
2020-02-12T15:45:41Z
2021-06-16T07:23:51Z
2024-02-23T10:32:19Z
2021-06-16T07:23:51Z
2024-02-23T10:32:19Z