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2000
Volume 2, Issue 1
  • ISSN: 1573-4099
  • E-ISSN: 1875-6697

Abstract

Non-nucleoside reverse transcriptase inhibitors (NNRTIs) are promising compounds in the search for potent and selective drugs for the treatment of AIDS. Although they are structurally diverse, the NNRTIs exhibit a striking similarity in their mode of action on the reverse transcriptase (RT) hydrophobic pocket. Several quantitative structure-activity relationship (QSAR) studies have been devoted to the HEPT and TIBO derivatives acting as NNRTIs. Thanks to their ability to perform non-linear mapping of the physicochemical descriptors to the corresponding biological activity, neural networks (NNs) proved to be a powerful QSAR modeling technique for this series of inhibitors. They show the importance of hydrophobic character of these compounds in their anti-HIV activity variation. One of the purposes of QSAR analyses is to understand the forces governing the activity of a particular class of compounds and to assist drug design. The present work rationalizes in depth the relationship between the hydrophobic character of NNRTIs and their anti-HIV activity. The variation of anti-HIV activity with respect to the hydrophobic parameters is performed by means of NNs and its non-linear aspect is discussed. There is a similarity in the hydrophobic character of TIBO and HEPT derivatives.

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/content/journals/cad/10.2174/157340906776056446
2006-03-01
2025-04-20
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  • Article Type:
    Research Article
Keyword(s): anti-HIV; HEPT; hydrophobicity; neural networks; NNRTIs; non-linear; QSAR; TIBO
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