Abstract
HIV protease inhibition has been one of the most effective methods of preventing HIV multiplication in infected organisms. Because of the complementarity that exists between the HIV protease active site and the molecules of substituted fullerenes, these compounds have been used as effective HIV protease inhibitors. In this paper, QSAR models based on experimental half maximum effective concentration (EC50) of substituted fullerenes have been developed. The three descriptors used to build the QSAR models make reference to the properties of the full molecule of the substituted fullerenes or to the properties of fragments of the molecule such as the fullerene core or substituent arms.
Keywords: QSAR, HIV protease inhibition, Substituted fullerenes
Letters in Drug Design & Discovery
Title: The Quantitative Structure Activity Relationships for Predicting HIV Protease Inhibition by Substituted Fullerenes
Volume: 7 Issue: 8
Author(s): Dana Martin and Mati Karelson
Affiliation:
Keywords: QSAR, HIV protease inhibition, Substituted fullerenes
Abstract: HIV protease inhibition has been one of the most effective methods of preventing HIV multiplication in infected organisms. Because of the complementarity that exists between the HIV protease active site and the molecules of substituted fullerenes, these compounds have been used as effective HIV protease inhibitors. In this paper, QSAR models based on experimental half maximum effective concentration (EC50) of substituted fullerenes have been developed. The three descriptors used to build the QSAR models make reference to the properties of the full molecule of the substituted fullerenes or to the properties of fragments of the molecule such as the fullerene core or substituent arms.
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Cite this article as:
Martin Dana and Karelson Mati, The Quantitative Structure Activity Relationships for Predicting HIV Protease Inhibition by Substituted Fullerenes, Letters in Drug Design & Discovery 2010; 7 (8) . https://dx.doi.org/10.2174/157018010792062759
DOI https://dx.doi.org/10.2174/157018010792062759 |
Print ISSN 1570-1808 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-628X |
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