Identification of Key Residues in Proteins ...
Document type :
Article dans une revue scientifique
DOI :
Permalink :
Title :
Identification of Key Residues in Proteins Through Centrality Analysis and Flexibility Prediction with RINspector
Author(s) :
Brysbaert, Guillaume [Auteur]
Unité de Glycobiologie Structurale et Fonctionnelle - UMR 8576 [UGSF]
Unité de Glycobiologie Structurale et Fonctionnelle (UGSF) - UMR 8576
Mauri, Theo [Auteur]
Unité de Glycobiologie Structurale et Fonctionnelle - UMR 8576 [UGSF]
De Ruyck, Jerome [Auteur]
Unité de Glycobiologie Structurale et Fonctionnelle (UGSF) - UMR 8576
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 - UMR 8576 [UGSF]
Unité de Glycobiologie Structurale et Fonctionnelle (UGSF) - UMR 8576
Mauri, Theo [Auteur]
Unité de Glycobiologie Structurale et Fonctionnelle - UMR 8576 [UGSF]
De Ruyck, Jerome [Auteur]
Unité de Glycobiologie Structurale et Fonctionnelle (UGSF) - UMR 8576
Unité de Glycobiologie Structurale et Fonctionnelle - UMR 8576 [UGSF]
Lensink, Marc [Auteur]
Unité de Glycobiologie Structurale et Fonctionnelle - UMR 8576 [UGSF]
Journal title :
Current Protocols in Bioinformatics
Volume number :
65
Pages :
e66
Publisher :
Wiley
Publication date :
2018-11-29
ISSN :
1934-3396
English keyword(s) :
protein structure
residue interaction network
centrality analysis
flexibility prediction
residue interaction network
centrality analysis
flexibility prediction
HAL domain(s) :
Sciences du Vivant [q-bio]
Chimie/Chimie théorique et/ou physique
Chimie/Chimie théorique et/ou physique
English abstract : [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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Administrative institution(s) :
Université de Lille
CNRS
CNRS
Research team(s) :
Computational Molecular Systems Biology
Submission date :
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
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