Computer-aided identification of ligands for GPCR anti-obesity targets.

Many orphan G-protein-coupled receptors (GPCR) have emerged as potential obesity targets. The authors are interested in the computer-aided discovery and development of small molecule anti-obesity agents targeting GPCR. Computational modeling studies have mainly been conducted on ghrelin receptor (GHS-R), melanocortin 4-receptor (MC4R), melanin-concentrating hormone 1 receptor (MCH1R) and cannabinoid 1 receptor (CB1R) in recent publications. Here, a homology modeling strategy for these receptors will be introduced, and the key structural features of their active and inactive conformations will be reviewed. In addition, the authors describe the uses of virtual screening methods to identify novel antagonists of MCH1R and CB1R, which provide valuable examples of the computer-aided design and structural optimization of GPCR ligands.
AuthorsKyung Hoon Min, Jakyung Yoo, Hyun-Ju Park
JournalCurrent topics in medicinal chemistry (Curr Top Med Chem) Vol. 9 Issue 6 Pg. 539-53 ( 2009) ISSN: 1873-4294 [Electronic] Netherlands
PMID19689364 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't, Review)
Chemical References
  • Anti-Obesity Agents
  • MCHR1 protein, human
  • Receptor, Cannabinoid, CB1
  • Receptor, Melanocortin, Type 4
  • Receptors, G-Protein-Coupled
  • Receptors, Ghrelin
  • Receptors, Somatostatin
  • Anti-Obesity Agents (chemistry, pharmacology)
  • Drug Design
  • Humans
  • Models, Molecular
  • Receptor, Cannabinoid, CB1 (antagonists & inhibitors, chemistry)
  • Receptor, Melanocortin, Type 4 (agonists, chemistry)
  • Receptors, G-Protein-Coupled (agonists, antagonists & inhibitors, chemistry)
  • Receptors, Ghrelin (antagonists & inhibitors, chemistry)
  • Receptors, Somatostatin (antagonists & inhibitors, chemistry)

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