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2000
Volume 14, Issue 4
  • ISSN: 1570-1808
  • E-ISSN: 1875-628X

Abstract

Method: This work reports on the Surflex docking and 3D-QSAR studies viz., CoMFA, CoMSIA and Topomer CoMFA on a set of 64 compounds that are inhibitors of enoyl ACP reductase enzyme. Diversity method was used to validate the generated test and training set. Results and Discussion: These sets were then used to generate, steric, electrostatic, hydrophobic, H-bond donor and acceptor contour maps. The results showed the best predictions for CoMFA model (q2 = 0.567, r2 pred = 0.902), CoMSIA (q2 = 0.586, r2 pred = 0.894), and Topomer CoMFA model (q2 = 0.652, r2 pred = 0.785). By comparing the results of both the studies we observed that amine, carbonyl, and pyrazoline rings are important for binding to receptor. Conclusion: These findings would help researcher to design new chemical entities by targeting enoyl ACP reductase enzyme.

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/content/journals/lddd/10.2174/1570180814666161107155459
2017-04-01
2025-06-23
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/content/journals/lddd/10.2174/1570180814666161107155459
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  • Article Type:
    Research Article
Keyword(s): Antitubercular activity; CoMFA; CoMSIA; molecular docking; pyrazoline; topomer CoMFA
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