What do docking and QSAR tell us about the design of HIV-1 reverse transcriptase nonnucleoside inhibitors?

J Mol Model. 2017 Oct 19;23(11):317. doi: 10.1007/s00894-017-3489-3.

Abstract

Despite vigorous studies, effective nonnucleoside inhibitors of HIV-1 reverse transcriptase (NNRTIs) are still in demand, not only due to toxicity and detrimental side effects of currently used drugs but also because of the emergence of multidrug-resistant viral strains. In this contribution, we present results of docking of 47 inhibitors to 107 allosteric centers of HIV-1 reverse transcriptase. Based on the average binding scores, we have constructed QSAR equations to elucidate directions of further developments in the inhibitor design that come from this structural data.

Keywords: Docking; HIV-1 reverse transcriptase; QSAR.

MeSH terms

  • Allosteric Site*
  • Anti-HIV Agents / pharmacology
  • Computational Biology
  • Drug Design
  • HIV Reverse Transcriptase / antagonists & inhibitors*
  • HIV Reverse Transcriptase / metabolism
  • HIV-1 / drug effects
  • HIV-1 / enzymology*
  • Molecular Docking Simulation*
  • Quantitative Structure-Activity Relationship*
  • Reverse Transcriptase Inhibitors / pharmacology*

Substances

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