Abstract
Mathematical models were developed for the estimation of human carbonic anhydrase (CA) II inhibition. A large set of 95 CA inhibitors incorporating diverse aromatic rings were used for this purpose. The numerical descriptors used were distance- and connectivity- based indices, quantum -theoretical descriptors and Balaban and Balaban type descriptors of molecular structure. After descriptor generation, multiple linear regression analysis was performed to find superior models for estimation. The obtained results indicate that: (i) models based on topological indices are superior to those based on quantum -theoretical descriptors; (ii) combinations of topological and quantum-theoretical descriptors improves the quality of regression; (iii) in both cases involvement of Balaban and Balaban type indices is beneficial. The results are described critically based on variety of statistical parameters.
Keywords: Carbonic anhydrase, Balaban indices, QSAR, topological index, quantum-theoritical descriptor, human CA II
Medicinal Chemistry
Title: Estimation of Human Carbonic Anhydrase II Inhibition Using Topological Indices and their Combination with Quantum-Theoretical Descriptors
Volume: 4 Issue: 1
Author(s): Padmakar V. Khadikar, Jyoti Singh, Shalini Singh, Rajika Mishra, Claudiu T. Supuran, Brian W. Clare and Meenakshi Lakhwani
Affiliation:
Keywords: Carbonic anhydrase, Balaban indices, QSAR, topological index, quantum-theoritical descriptor, human CA II
Abstract: Mathematical models were developed for the estimation of human carbonic anhydrase (CA) II inhibition. A large set of 95 CA inhibitors incorporating diverse aromatic rings were used for this purpose. The numerical descriptors used were distance- and connectivity- based indices, quantum -theoretical descriptors and Balaban and Balaban type descriptors of molecular structure. After descriptor generation, multiple linear regression analysis was performed to find superior models for estimation. The obtained results indicate that: (i) models based on topological indices are superior to those based on quantum -theoretical descriptors; (ii) combinations of topological and quantum-theoretical descriptors improves the quality of regression; (iii) in both cases involvement of Balaban and Balaban type indices is beneficial. The results are described critically based on variety of statistical parameters.
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Cite this article as:
Khadikar V. Padmakar, Singh Jyoti, Singh Shalini, Mishra Rajika, Supuran T. Claudiu, Clare W. Brian and Lakhwani Meenakshi, Estimation of Human Carbonic Anhydrase II Inhibition Using Topological Indices and their Combination with Quantum-Theoretical Descriptors, Medicinal Chemistry 2008; 4 (1) . https://dx.doi.org/10.2174/157340608783331461
DOI https://dx.doi.org/10.2174/157340608783331461 |
Print ISSN 1573-4064 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-6638 |
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