2. Academic Validation
  3. QSAR models for HEPT derivates as NNRTI inhibitors based on Monte Carlo method

QSAR models for HEPT derivates as NNRTI inhibitors based on Monte Carlo method

  • Eur J Med Chem. 2014 Apr 22:77:298-305. doi: 10.1016/j.ejmech.2014.03.013.
Alla P Toropova 1,  Andrey A Toropov 1,  Jovana B Veselinović 2,  Filip N Miljković 2,  Aleksandar M Veselinović 3
Affiliations

Affiliations

  • 1 IRCCS - Istituto di Ricerche Farmacologiche Mario Negri, Milano, Italy.
  • 2 University of Niš, Faculty of Medicine, Department of Chemistry, Bulevar Dr Zorana Djindjića 81, 18000 Niš, Serbia.
  • 3 University of Niš, Faculty of Medicine, Department of Chemistry, Bulevar Dr Zorana Djindjića 81, 18000 Niš, Serbia. Electronic address: [email protected].
PMID: 24657566 DOI: 10.1016/j.ejmech.2014.03.013
Abstract

A series of 107 1-[(2-hydroxyethoxy)-methyl]-6-(phenylthio) thymine (HEPT) with anti-HIV-1 activity as a non-nucleoside Reverse Transcriptase Inhibitor (NNRTI) has been studied. Monte Carlo method has been used as a tool to build up the quantitative structure-activity relationships (QSAR) for anti-HIV-1 activity. The QSAR models were calculated with the representation of the molecular structure by simplified molecular input-line entry system and by the molecular graph. Three various splits into training and test set were examined. Statistical quality of all build models is very good. Best calculated model had following statistical parameters: for training set r(2) = 0.8818, q(2) = 0.8774 and r(2) = 0.9360, q(2) = 0.9243 for test set. Structural indicators (alerts) for increase and decrease of the IC50 are defined. Using defined structural alerts computer aided design of new potential anti-HIV-1 HEPT derivates is presented.

Keywords

CORAL software; Computer-aided drug design; HEPT; Monte Carlo method; QSAR; SMILES.

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