Emerging evidence has demonstrated that cannabinoid receptor 2 (CB2) is involved in a number of diseases, such as neurodegenerative disorders and various types of cancer, making it an attractive pharmacological target. Classically, a protein active site or an orthosteric binding site, where the endogenous ligand binds to, is used as a target for the design of most small-molecule drugs. This can present challenges when it comes to phylogenetically related proteins that have similar orthosteric binding sites, such as the cannabinoid receptors. An alternative approach is to target sites that are unique to these receptors yet still impact receptor function, known as allosteric binding sites. Using an inactive-state human cannabinoid receptor 2 crystal structure (PDB ID:5ZTY), we identified a putative CB2 allosteric site using computational approaches. In vitro signaling assays using known allosteric modulators and CB2 agonists have been used to verify the in silico results. This identification opens promising avenues for the development of selective and specific CB2 ligands for therapeutic purposes.

Identification of a Cannabinoid Receptor 2 Allosteric Site Using Computational Modeling and Pharmacological Analysis

Delre P.;Mangiatordi G. F.;
2025

Abstract

Emerging evidence has demonstrated that cannabinoid receptor 2 (CB2) is involved in a number of diseases, such as neurodegenerative disorders and various types of cancer, making it an attractive pharmacological target. Classically, a protein active site or an orthosteric binding site, where the endogenous ligand binds to, is used as a target for the design of most small-molecule drugs. This can present challenges when it comes to phylogenetically related proteins that have similar orthosteric binding sites, such as the cannabinoid receptors. An alternative approach is to target sites that are unique to these receptors yet still impact receptor function, known as allosteric binding sites. Using an inactive-state human cannabinoid receptor 2 crystal structure (PDB ID:5ZTY), we identified a putative CB2 allosteric site using computational approaches. In vitro signaling assays using known allosteric modulators and CB2 agonists have been used to verify the in silico results. This identification opens promising avenues for the development of selective and specific CB2 ligands for therapeutic purposes.
2025
Istituto di Cristallografia - IC
cannabinoid receptor 2 (CB2)
G protein-coupledreceptor (GPCR)
allosteric
computational
signaling
File in questo prodotto:
File Dimensione Formato  
farooq-et-al-2025-identification-of-a-cannabinoid-receptor-2-allosteric-site-using-computational-modeling-and.pdf

accesso aperto

Licenza: Creative commons
Dimensione 8.37 MB
Formato Adobe PDF
8.37 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/546381
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 3
social impact