Identification of Key Residues in Proteins ...
Type de document :
Article dans une revue scientifique
DOI :
URL permanente :
Titre :
Identification of Key Residues in Proteins Through Centrality Analysis and Flexibility Prediction with RINspector
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]
De Ruyck, Jerome [Auteur]
Unité de Glycobiologie Structurale et Fonctionnelle - UMR 8576 [UGSF]
Unité de Glycobiologie Structurale et Fonctionnelle (UGSF) - UMR 8576
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]
De Ruyck, Jerome [Auteur]
Unité de Glycobiologie Structurale et Fonctionnelle - UMR 8576 [UGSF]
Unité de Glycobiologie Structurale et Fonctionnelle (UGSF) - UMR 8576
Lensink, Marc [Auteur]

Unité de Glycobiologie Structurale et Fonctionnelle - UMR 8576 [UGSF]
Titre de la revue :
Current Protocols in Bioinformatics
Numéro :
65
Pagination :
e66
Éditeur :
Wiley
Date de publication :
2018-11-29
ISSN :
1934-3396
Mot(s)-clé(s) en anglais :
protein structure
residue interaction network
centrality analysis
flexibility prediction
residue interaction network
centrality analysis
flexibility prediction
Discipline(s) HAL :
Sciences du Vivant [q-bio]
Chimie/Chimie théorique et/ou physique
Chimie/Chimie théorique et/ou physique
Résumé en anglais : [en]
Protein structures inherently contain information as to decipher their functions but the exploitation of this knowledge is not trivial. We recently developed an app for the Cytoscape network visualization and analysis ...
Lire la suite >Protein structures inherently contain information as to decipher their functions but the exploitation of this knowledge is not trivial. We recently developed an app for the Cytoscape network visualization and analysis program, called RINspector, the goal of which was to integrate two different approaches that identify key residues in a protein structure or complex. The first approach consists of calculating centralities on a residue interaction network (RIN) generated from the three-dimensional structure, the second one consists of predicting backbone flexibility and needs only the primary sequence. The identified residues highly correlate with functional relevance and constitute a good set of targets for mutagenesis experiments. Here we present a protocol that details step-by-step how to create a RIN from a structure, and then to calculate centralities and predict flexibilities. We also indicate how to understand and use the results of the analyses.Lire moins >
Lire la suite >Protein structures inherently contain information as to decipher their functions but the exploitation of this knowledge is not trivial. We recently developed an app for the Cytoscape network visualization and analysis program, called RINspector, the goal of which was to integrate two different approaches that identify key residues in a protein structure or complex. The first approach consists of calculating centralities on a residue interaction network (RIN) generated from the three-dimensional structure, the second one consists of predicting backbone flexibility and needs only the primary sequence. The identified residues highly correlate with functional relevance and constitute a good set of targets for mutagenesis experiments. Here we present a protocol that details step-by-step how to create a RIN from a structure, and then to calculate centralities and predict flexibilities. We also indicate how to understand and use the results of the analyses.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Établissement(s) :
Université de Lille
CNRS
CNRS
Équipe(s) de recherche :
Computational Molecular Systems Biology
Date de dépôt :
2021-01-04T10:24:21Z
2021-01-07T10:44:42Z
2021-02-08T14:40:03Z
2021-01-07T10:44:42Z
2021-02-08T14:40:03Z
Fichiers
- P19.103 Brysbaert2018_Protocol.pdf
- Version éditeur
- Accès confidentiel
- Accéder au document