Identification of Novel CB2 Ligands through Virtual Screening and In Vitro Evaluation

J Chem Inf Model. 2023 Feb 13;63(3):1012-1027. doi: 10.1021/acs.jcim.2c01503. Epub 2023 Jan 24.

Abstract

Cannabinoid receptor type 2 (CB2) is a very promising therapeutic target for a variety of potential indications. However, despite the existence of multiple high affinity CB2 ligands, none have yet been approved as a drug. Therefore, it would be beneficial to explore new chemotypes of CB2 ligands. The recent elucidation of CB2 tertiary structure allows for rational hit identification with structure-based (SB) methods. In this study, we established a virtual screening workflow based on SB techniques augmented with ligand-based ones, including molecular docking, MM-GBSA binding energy calculations, pharmacophore screening, and QSAR. We screened nearly 7 million drug-like, commercially available compounds. We selected 16 molecules for in vitro evaluation and identified two novel, selective CB2 antagonists with Ki values of 65 and 210 nM. Both compounds are structurally diverse from CB2 ligands known to date. The established virtual screening protocol may prove useful for hit identification for CB2 and similar molecular targets. The two novel CB2 ligands provide a desired starting point for future optimization and development of potential drugs.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Ligands
  • Molecular Docking Simulation
  • Receptor, Cannabinoid, CB1*
  • Receptor, Cannabinoid, CB2*

Substances

  • Ligands
  • Receptor, Cannabinoid, CB2
  • Receptor, Cannabinoid, CB1