[Computer search for novel HIV-1 integrase inhibitors]

Biomed Khim. 2005 May-Jun;51(3):335-40.
[Article in Russian]

Abstract

HIV-1 integrase is the third enzyme essential for viral replication. It represents an attractive target for new anti-HIV drugs. Diketo acids represent the most prospective class of integrase inhibitors; one of them (S1360) is currently under clinical trials. We prepared the training set containing 90 diketoacid derivatives and performed re-training of computer program PASS. Average accuracy of prediction in LOO cross-validation for HIV-1 integrase inhibitors was shown to be 99%. We selected eight new potential HIV-1 integrase inhibitors among about the 700,000 substances from the databases of commercially available chemicals; anti-integrase activity was found experimentally in two selected compounds.

Publication types

  • English Abstract

MeSH terms

  • Anti-HIV Agents / chemistry*
  • Benzene Derivatives / chemistry*
  • Computer Simulation
  • Furans
  • HIV Integrase / chemistry*
  • HIV Integrase Inhibitors / chemistry*
  • Humans
  • Keto Acids / chemistry*
  • Triazoles

Substances

  • Anti-HIV Agents
  • Benzene Derivatives
  • Furans
  • HIV Integrase Inhibitors
  • Keto Acids
  • S 1360
  • Triazoles
  • HIV Integrase