期刊
CURRENT COMPUTER-AIDED DRUG DESIGN
卷 17, 期 2, 页码 281-293出版社
BENTHAM SCIENCE PUBL LTD
DOI: 10.2174/1573409916666200302115432
关键词
CoMFA; CoMSIA; 3D-QSAR; Mycobacterium tuberculosis; antitubercular; triazole molecules
资金
- AICTE New Delhi [8219/RFID/RPS/Policy-1/2014-15]
This study developed and compared two QSAR models based on triazole molecules with antitubercular activity, with the CoMSIA model showing significantly better results than the CoMFA model in terms of predicting the structural importance of these compounds. The CoMSIA contours provided insights into the role of various atoms and groups in the biological activity of the triazole molecules.
Background: Tuberculosis is one of the leading causes of deaths due to infectious disease worldwide. There is an urgent need for developing new drugs due to the rising incidents of drug resistance. Previously, triazole molecules showing antitubercular activity, were reported. Various computational tools pave the way for a rational approach to understanding the structural importance of these compounds in inhibiting the growth of Mycobacterium Tuberculosis. Objective: The aim of this study is to develop and compare two different QSAR models based on a set of previously reported triazole molecules and use the best one for gaining structural insights into those molecules. Methods: In this current study, two separate models were made with CoMFA and CoMSIA descriptors based on a dataset of triazole molecules showing antitubercular activity. Several one dimensional (1D) descriptors were added to each of the models and the validation results and contour data generated from them were compared. The best model was analysed to give a detailed understanding of the triazole molecules and their role in the antitubercular activity. Results: The r(2), q(2) , predicted r(2) and SEP (Standard error of prediction) for the CoMFA model were 0.866, 0.573, 0.119 and 0.736 respectively and for the CoMSIA model, the r(2), q(2), predicted r(2) and SEP were calculated to be 0.998, 0.634, 0.013 and 0.869 respectively. Although both the QSAR models produced acceptable internal and external validation scores, but the CoMSIA results were significantly better. The CoMSIA contours also provided a better match than CoMFA with most of the features of the active compound 30b. Hence, the CoMSIA model was chosen and its contours were explored for gaining structural insights into the triazole molecules. Conclusion: The CoMSIA contours helped us understand the role of several atoms and groups of the triazole molecules in their biological activity. The possibilities for substitution in the triazole compounds that would enhance the activity were also analyzed. Thus, this study paves the way for designing new antitubercular drugs in future.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据