Coevolutionary data-based interaction networks approach highlighting key residues across protein families : The case of the G-protein coupled receptors

© 2020 The Author(s)..

We present an approach that, by integrating structural data with Direct Coupling Analysis, is able to pinpoint most of the interaction hotspots (i.e. key residues for the biological activity) across very sparse protein families in a single run. An application to the Class A G-protein coupled receptors (GPCRs), both in their active and inactive states, demonstrates the predictive power of our approach. The latter can be easily extended to any other kind of protein family, where it is expected to highlight most key sites involved in their functional activity.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:18

Enthalten in:

Computational and structural biotechnology journal - 18(2020) vom: 01., Seite 1153-1159

Sprache:

Englisch

Beteiligte Personen:

Baldessari, Filippo [VerfasserIn]
Capelli, Riccardo [VerfasserIn]
Carloni, Paolo [VerfasserIn]
Giorgetti, Alejandro [VerfasserIn]

Links:

Volltext

Themen:

Coevolution
Conformational states
Functionally relevant residues
GPCRs
Interaction network
Journal Article

Anmerkungen:

Date Revised 28.03.2024

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.1016/j.csbj.2020.05.003

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM310697484