Arabian Journal of Chemistry (Feb 2017)

3D-QSAR and molecular docking analysis of (4-piperidinyl)-piperazines as acetyl-CoA carboxylases inhibitors

  • Udghosh Singh,
  • Rahul Prakashchand Gangwal,
  • Gaurao V. Dhoke,
  • Rameshwar Prajapati,
  • Mangesh Damre,
  • Abhay T. Sangamwar

DOI
https://doi.org/10.1016/j.arabjc.2012.10.023
Journal volume & issue
Vol. 10, no. S1
pp. S617 – S626

Abstract

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Acetyl-CoA carboxylase (ACC) is a crucial metabolic enzyme, which plays a vital role in fatty acid metabolism and obesity induced type 2 diabetes. Herein, we have performed 3D-QSAR and molecular docking analysis on a novel series of (4-piperidinyl)-piperazines to design potent ACC inhibitors. This study correlates the ACC inhibitory activities of 68 (4-piperidinyl)-piperazine derivatives with several stereo-chemical parameters representing steric, electrostatic, hydrophobic, hydrogen bond donor and acceptor fields. The CoMFA and CoMSIA models exhibited excellent rncv2 values of 0.974 and 0.985, and rcv2 values of 0.671 and 0.693, respectively. CoMFA predicted rpred2 of 0.910 and CoMSIA predicted rpred2 of 0.963 showed that the predicted values were in good agreement with experimental values. Glide5.5 program was used to explore the binding mode of inhibitors inside the active site of ACC. We have accordingly designed novel ACC inhibitors by utilising the LeapFrog and predicted with excellent inhibitory activity in the developed models.

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