Setmelanotide optimization through fragment-growing, molecular docking in-silico method targeting MC4 receptor

J Biomol Struct Dyn. 2023;41(24):15411-15420. doi: 10.1080/07391102.2023.2204385. Epub 2023 Apr 26.

Abstract

Obesity has emerged as a global issue, but with the complex structures of multiple related important targets and their agonists or antagonists determined, the mechanism of ligand-protein interaction may offer new chances for developing new generation agonists anti-obesity. Based on the molecule surface of the cryo-EM protein structure 7AUE, we tried to replace D-Ala3 with D-Met in setmelanotide as the linker site for fragment-growing with De novo evolution. The simulation results indicate that the derivatives could improve the binding abilities with the melanocortin 4 receptor and the selectivity over the melanocortin 1 receptor. The improved selectivity of the newly designed derivatives is mainly due to the shape difference of the molecular surface at the orthosteric peptide-binding pocket between melanocortin 4 receptor and melanocortin 1 receptor. The new extended fragments could not only enhance the binding affinities but also function as a gripper to seize the pore, making it easier to balance and stabilize the other component of the new derivatives. Although it is challenging to synthesize the compounds designed in silico, this study may perhaps serve as a trigger for additional anti-obesity research.Communicated by Ramaswamy H. Sarma.

Keywords: AutoDock Vina; Fragment-growing; MC4R agonist; molecular docking; molecular dynamics study.

MeSH terms

  • Humans
  • Molecular Docking Simulation
  • Obesity
  • Receptor, Melanocortin, Type 1*
  • Receptor, Melanocortin, Type 4* / agonists
  • Receptor, Melanocortin, Type 4* / metabolism
  • alpha-MSH / chemistry
  • alpha-MSH / metabolism

Substances

  • setmelanotide
  • Receptor, Melanocortin, Type 4
  • Receptor, Melanocortin, Type 1
  • alpha-MSH