Orphan G protein-coupled receptors: the ongoing search for a home.

7TM receptors GPCR deorphanization GPCRs orphan receptors seven transmembrane receptors

Journal

Frontiers in pharmacology
ISSN: 1663-9812
Titre abrégé: Front Pharmacol
Pays: Switzerland
ID NLM: 101548923

Informations de publication

Date de publication:
2024
Historique:
received: 04 12 2023
accepted: 15 02 2024
medline: 18 3 2024
pubmed: 18 3 2024
entrez: 18 3 2024
Statut: epublish

Résumé

G protein-coupled receptors (GPCRs) make up the largest receptor superfamily, accounting for 4% of protein-coding genes. Despite the prevalence of such transmembrane receptors, a significant number remain orphans, lacking identified endogenous ligands. Since their conception, the reverse pharmacology approach has been used to characterize such receptors. However, the multifaceted and nuanced nature of GPCR signaling poses a great challenge to their pharmacological elucidation. Considering their therapeutic relevance, the search for native orphan GPCR ligands continues. Despite limited structural input in terms of 3D crystallized structures, with advances in machine-learning approaches, there has been great progress with respect to accurate ligand prediction. Though such an approach proves valuable given that ligand scarcity is the greatest hurdle to orphan GPCR deorphanization, the future pairings of the remaining orphan GPCRs may not necessarily take a one-size-fits-all approach but should be more comprehensive in accounting for numerous nuanced possibilities to cover the full spectrum of GPCR signaling.

Identifiants

pubmed: 38495099
doi: 10.3389/fphar.2024.1349097
pii: 1349097
pmc: PMC10941346
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

1349097

Informations de copyright

Copyright © 2024 Jobe and Vijayan.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Amie Jobe (A)

Department of Biology, College of Science, United Arab Emirates University, Al Ain, United Arab Emirates.

Ranjit Vijayan (R)

Department of Biology, College of Science, United Arab Emirates University, Al Ain, United Arab Emirates.
The Big Data Analytics Center, United Arab Emirates University, Al Ain, United Arab Emirates.
Zayed Bin Sultan Center for Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates.

Classifications MeSH