Abstract
A set of 24 descriptors consisting of quantum and chemical descriptors have been used to model binding constant (logK) of the benzene sulfonamides to human CAII. Simple as well as multiple regression have indicated that MNC (most negative charge) is the most dominating parameter to be used in modeling log K. Excellent results are obtained in multi-parametric regression. The results are critically discussed using a variety of statistics, which indicated that the hydrophobic term (log P) is not essential to yield excellent models.
Keywords: QSAR, Quantum parameter, Hydrophobicity, Regression analysis, Chemical parameter
Letters in Drug Design & Discovery
Title: Development of Quantitative Structure-Activity Relationship for a Set of Carbonic Anhydrase Inhibitors: Use of Quantum and Chemical Descriptors
Volume: 3 Issue: 9
Author(s): Padmakar V. Khadikar, Omar Deeb, Amal Jaber, Jyoti Singh, Vijay K. Agrawal, Shalini Singh and Meenakshi Lakhwani
Affiliation:
Keywords: QSAR, Quantum parameter, Hydrophobicity, Regression analysis, Chemical parameter
Abstract: A set of 24 descriptors consisting of quantum and chemical descriptors have been used to model binding constant (logK) of the benzene sulfonamides to human CAII. Simple as well as multiple regression have indicated that MNC (most negative charge) is the most dominating parameter to be used in modeling log K. Excellent results are obtained in multi-parametric regression. The results are critically discussed using a variety of statistics, which indicated that the hydrophobic term (log P) is not essential to yield excellent models.
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Cite this article as:
Khadikar V. Padmakar, Deeb Omar, Jaber Amal, Singh Jyoti, Agrawal K. Vijay, Singh Shalini and Lakhwani Meenakshi, Development of Quantitative Structure-Activity Relationship for a Set of Carbonic Anhydrase Inhibitors: Use of Quantum and Chemical Descriptors, Letters in Drug Design & Discovery 2006; 3 (9) . https://dx.doi.org/10.2174/157018006778341138
DOI https://dx.doi.org/10.2174/157018006778341138 |
Print ISSN 1570-1808 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-628X |
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