Structure-based optimization of azole antifungal agents by CoMFA, CoMSIA, and molecular docking

J Med Chem. 2006 Apr 20;49(8):2512-25. doi: 10.1021/jm051211n.

Abstract

In a continuing effort to develop highly potent azole antifungal agents, the three-dimensional quantitative structure-activity relationship methods, CoMFA and CoMSIA, were applied using a set of novel azole antifungal compounds. The binding mode of the compounds at the active site of lanosterol 14alpha-demethylase was further explored using the flexible docking method. Various hydrophobic, van der Waals, pi-pi stacking, and hydrogen bonding interactions were observed between the azoles and the enzyme. Based on results from the molecular modeling, a receptor-based pharmacophore model was established to guide the rational optimization of the azole antifungal agents. Thus, a total of 57 novel azoles were designed and synthesized by a three-step optimization process. In vitro antifungal assay revealed that the antifungal activities of these novel azoles were greatly improved, which confirmed the reliability of the model from molecular modeling.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Antifungal Agents / chemical synthesis
  • Antifungal Agents / chemistry*
  • Antifungal Agents / pharmacology*
  • Azoles / chemical synthesis
  • Azoles / chemistry*
  • Azoles / pharmacology*
  • Binding Sites
  • Databases, Factual
  • Fungi / drug effects
  • Hydrogen Bonding
  • In Vitro Techniques
  • Microbial Sensitivity Tests
  • Models, Molecular
  • Molecular Structure
  • Quantitative Structure-Activity Relationship*

Substances

  • Antifungal Agents
  • Azoles