Article: Detour matrix-based adjacent path eccentric distance sum indices for (Q)SAR/QSPR. Part II: application in development of models for COX-2 inhibitory activity of indomethacin derivatives Journal: International Journal of Computational Biology and Drug Design (IJCBDD) 2014 Vol.7 No.4 pp.319 - 340 Abstract: In present study, adjacent path eccentric distance sum indices proposed in Part-I of the manuscript were successfully utilised for the development of models for cycloxygenase-2 (COX-2) inhibitory activity. Values of diverse molecular descriptors (MDs) for each of 38 indomethacin analogues involved in the dataset were computed. A total of 55 diverse MDs were ultimately shortlisted for further analysis. The suitable models were developed using decision tree (DT), random forest (RF) and moving average analysis (MAA). The DT identified the proposed topological index (TI)-Aξ3PDS as one of the important indices. The accuracy of prediction of DT, RF and MAA-based models varied from 81.58% to 97.37%. The statistical significance of proposed models was assessed through inter-correlation analysis, sensitivity, specificity, non-error rate and Mathews correlation coefficient. Proposed models offer vast potential for providing lead structures for the development of potent anti-inflammatory agents devoid of COX-1 side effects. Inderscience Publishers - linking academia, business and industry through research

Title: Detour matrix-based adjacent path eccentric distance sum indices for (Q)SAR/QSPR. Part II: application in development of models for COX-2 inhibitory activity of indomethacin derivatives

Authors: Monika Singh; Harish Dureja; A.K. Madan

Addresses: Faculty of Pharmaceutical Sciences, M.D. University, Rohtak 124-001, India ' Faculty of Pharmaceutical Sciences, M.D. University, Rohtak 124-001, India ' Faculty of Pharmaceutical Sciences, Pt. B. D. Sharma University of Health Sciences, Rohtak 124-001, India

Abstract: In present study, adjacent path eccentric distance sum indices proposed in Part-I of the manuscript were successfully utilised for the development of models for cycloxygenase-2 (COX-2) inhibitory activity. Values of diverse molecular descriptors (MDs) for each of 38 indomethacin analogues involved in the dataset were computed. A total of 55 diverse MDs were ultimately shortlisted for further analysis. The suitable models were developed using decision tree (DT), random forest (RF) and moving average analysis (MAA). The DT identified the proposed topological index (TI)-^Aξ₃^PDS as one of the important indices. The accuracy of prediction of DT, RF and MAA-based models varied from 81.58% to 97.37%. The statistical significance of proposed models was assessed through inter-correlation analysis, sensitivity, specificity, non-error rate and Mathews correlation coefficient. Proposed models offer vast potential for providing lead structures for the development of potent anti-inflammatory agents devoid of COX-1 side effects.

Keywords: adjacent path eccentric distance sum indices; COX-2 inhibitory activity; decision tree; indomethacin derivatives; MAA; moving average analysis; random forest; topological indices; detour matrix; cycloxygenase; molecular descriptors; anti-inflammatory agents; COX-1 side effects; drug design.

DOI: 10.1504/IJCBDD.2014.066539

International Journal of Computational Biology and Drug Design, 2014 Vol.7 No.4, pp.319 - 340

Received: 18 Oct 2013
Accepted: 25 Nov 2013
Published online: 25 Apr 2015 *

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Title: Detour matrix-based adjacent path eccentric distance sum indices for (Q)SAR/QSPR. Part II: application in development of models for COX-2 inhibitory activity of indomethacin derivatives

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