In-silico design of novel myocilin inhibitors for glaucoma therapy

  • Min Tang
  • Yang Fu
  • Ying Fan
  • Ming-Shui Fu
  • Zhi Zheng
  • Xun Xu
Keywords: Glaucoma, Myocilin, Docking, Virtual-screening, Autodock, Ligand, Drug design

Abstract

Purpose: To explore newer computational approaches in the design of novel myocilin inhibitors for the treatment of glaucoma.

Methods: An in-silico virtual screening technique based on simulation of molecular docking was utilised to design a novel myocilin inhibitors for the treatment of  glaucoma. The designed novel molecules were theoretically evaluated to predict their pharmacokinetic properties and toxic effects. Lead molecules were screened out in virtual screening technique on the basis of low binding energies obtained in AutoDock based molecular docking simulation.

Results: Out of ten top lead compounds screened, ZINC01729523 and ZINC04692015 were promising, having shown potent inhibition of myocilin, good pharmacokinetic properties and absence of any toxic effects.

Conclusion: In-silico virtual screening of molecular libraries containing a large number of ligands is very useful for short-listing of potential lead molecules for further structure-based discovery of antiglaucoma-drugs.


Keywords: Glaucoma, Myocilin, Docking, Virtual-screening, Autodock, Ligand, Drug design

Published
2017-11-15
Section
Articles

Journal Identifiers


eISSN: 1596-9827
print ISSN: 1596-5996