Comparative Study of Allosteric GPCR Binding Sites and Their Ligandability Potential.


Journal

Journal of chemical information and modeling
ISSN: 1549-960X
Titre abrégé: J Chem Inf Model
Pays: United States
ID NLM: 101230060

Informations de publication

Date de publication:
23 Oct 2024
Historique:
medline: 23 10 2024
pubmed: 23 10 2024
entrez: 23 10 2024
Statut: aheadofprint

Résumé

The steadily growing number of experimental G-protein-coupled receptor (GPCR) structures has revealed diverse locations of allosteric modulation, and yet few drugs target them. This gap highlights the need for a deeper understanding of allosteric modulation in GPCR drug discovery. The current work introduces a systematic annotation scheme to structurally classify GPCR binding sites based on receptor class, transmembrane helix contacts, and, for membrane-facing sites, membrane sublocation. This GPCR specific annotation scheme was applied to 107 GPCR structures bound by small molecules contributing to 24 distinct allosteric binding sites for comparative evaluation of three binding site detection methods (BioGPS, SiteMap, and FTMap). BioGPS identified the most in 22 of 24 sites. In addition, our property analysis showed that extrahelical allosteric ligands and binding sites represent a distinct chemical space characterized by shallow pockets with low volume, and the corresponding allosteric ligands showed an enrichment of halogens. Furthermore, we demonstrated that combining receptor and ligand similarity can be a viable method for ligandability assessment. One challenge regarding site prediction is the ligand shaping effect on the observed binding site, especially for extrahelical sites where the ligand-induced effect was most pronounced. To our knowledge, this is the first study presenting a binding site annotation scheme standardized for GPCRs, and it allows a comparison of allosteric binding sites across different receptors in an objective way. The insight from this study provides a framework for future GPCR binding site studies and highlights the potential of targeting allosteric sites for drug development.

Identifiants

pubmed: 39441864
doi: 10.1021/acs.jcim.4c00819
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Sonja Peter (S)

Computational Chemistry, Nxera Pharma U.K., Steinmetz Building, Granta Park, Cambridge CB21 6DG, United Kingdom.
Department of Biomolecular Sciences, University of Urbino Carlo Bo, Piazza Rinascimento 6, Urbino 61029, Italy.

Lydia Siragusa (L)

Kinetic Business Centre, Molecular Discovery Ltd., Theobald Street, Elstree, Borehamwood, Hertfordshire WD6 4PJ, United Kingdom.
Molecular Horizon srl, via Montelino 30, Bettona, PG 06084, Italy.

Morgan Thomas (M)

Computational Chemistry, Nxera Pharma U.K., Steinmetz Building, Granta Park, Cambridge CB21 6DG, United Kingdom.
Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom.

Tommaso Palomba (T)

Kinetic Business Centre, Molecular Discovery Ltd., Theobald Street, Elstree, Borehamwood, Hertfordshire WD6 4PJ, United Kingdom.

Simon Cross (S)

Kinetic Business Centre, Molecular Discovery Ltd., Theobald Street, Elstree, Borehamwood, Hertfordshire WD6 4PJ, United Kingdom.

Noel M O'Boyle (NM)

Computational Chemistry, Nxera Pharma U.K., Steinmetz Building, Granta Park, Cambridge CB21 6DG, United Kingdom.

Dávid Bajusz (D)

Medicinal Chemistry Research Group and Drug Innovation Centre, HUN-REN Research Centre for Natural Sciences, Magyar tudósok krt. 2, Budapest 1117, Hungary.

György G Ferenczy (GG)

Medicinal Chemistry Research Group and Drug Innovation Centre, HUN-REN Research Centre for Natural Sciences, Magyar tudósok krt. 2, Budapest 1117, Hungary.

György M Keserű (GM)

Medicinal Chemistry Research Group and Drug Innovation Centre, HUN-REN Research Centre for Natural Sciences, Magyar tudósok krt. 2, Budapest 1117, Hungary.

Giovanni Bottegoni (G)

Department of Biomolecular Sciences, University of Urbino Carlo Bo, Piazza Rinascimento 6, Urbino 61029, Italy.
Institute of Clinical Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom.

Brian Bender (B)

Computational Chemistry, Nxera Pharma U.K., Steinmetz Building, Granta Park, Cambridge CB21 6DG, United Kingdom.

Ijen Chen (I)

Computational Chemistry, Nxera Pharma U.K., Steinmetz Building, Granta Park, Cambridge CB21 6DG, United Kingdom.

Chris De Graaf (C)

Computational Chemistry, Nxera Pharma U.K., Steinmetz Building, Granta Park, Cambridge CB21 6DG, United Kingdom.

Classifications MeSH