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Predicting the drug abuse activity of some novel 4-Alkoxycarbonyl-1, 5-diaryl-1, 2, 3-triazoles on CB1 cannabinoid receptor using 2D and 3D-QSAR (kNN-MFA) analysis | Abstract
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Journal of Computational Methods in Molecular Design

Abstract

Predicting the drug abuse activity of some novel 4-Alkoxycarbonyl-1, 5-diaryl-1, 2, 3-triazoles on CB1 cannabinoid receptor using 2D and 3D-QSAR (kNN-MFA) analysis

Author(s): Anwar Rafique Shaikh, Malik Amber, Imadulislam, Ziyaul Haque, Sanjay J. Kshirsagar, Kankate R. S. and Ketki Eknath Shelar

2D-QSAR and 3D-QSAR studies by means of MLR, PLS and PCR were performed on a series of 4-Alkoxycarbonyl- 1, 5-diaryl-1, 2, 3-triazole analogues for the treatment of drug abuse disorder using software MDS 4.2 version (VLife Science). This study was performed with 13 compounds (Data set) using random as well as manual data selection methods for the division of the data into training and test set. MLR methodology with stepwise forwardbackward variable selection method was used for building the QSAR models. Statistically significant QSAR models were generated. Among them most significant model has squared correlation coefficient (r2) = 0.9895, cross validated correlation coefficient (q2) = 0.9747 and predictive correlation coefficient (pred_r2) = 0.9826 for the treatment of drug abuse disorders. The idea of the present study is the search for novel 4-Alkoxycarbonyl-1, 5- diaryl-1, 2, 3-triazole analogues that would show promise to be useful in the treatment of drug abuse disorders.