Docking-based 3D-QSAR analyses of pyrazole derivatives as HIV-1 non-nucleoside reverse transcriptase inhibitors

J Mol Model. 2012 Apr;18(4):1573-82. doi: 10.1007/s00894-011-1190-5. Epub 2011 Jul 30.

Abstract

1,3,4,5-tetrasubstituted-pyrazoles (TPs) have been recently identified as a new class of potent non-nucleoside HIV-1 reverse transcriptase (RT) inhibitors. A computational strategy based on molecular docking studies, followed by docking-based comparative molecular fields analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA), has been used to elucidate the atomic details of the RT/TP interactions and to identify the most important features impacting the TP antiretroviral activity. The final CoMSIA model resulted to be the more predictive, showing r (ncv) (2) = 0.97, r (cv) (2) = 0.723, SEE = 0.248, F = 240.291, and r(2) (pred) = 0.77. The results allowed us to obtain useful information for the design of new compounds with improved potency toward WT HIV-1 and also against clinically relevant resistant mutants.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Anti-HIV Agents / chemistry*
  • Anti-HIV Agents / pharmacology*
  • Binding Sites
  • Computer Simulation
  • Computer-Aided Design
  • HIV Infections / drug therapy
  • HIV Reverse Transcriptase / antagonists & inhibitors*
  • HIV Reverse Transcriptase / chemistry
  • HIV-1 / drug effects*
  • Humans
  • Models, Molecular
  • Molecular Dynamics Simulation
  • Pyrazoles / chemistry
  • Quantitative Structure-Activity Relationship
  • Reverse Transcriptase Inhibitors / chemistry*
  • Reverse Transcriptase Inhibitors / pharmacology*

Substances

  • Anti-HIV Agents
  • Pyrazoles
  • Reverse Transcriptase Inhibitors
  • reverse transcriptase, Human immunodeficiency virus 1
  • HIV Reverse Transcriptase