Literature DB >> 18676164

Insight into the structural requirements of proton pump inhibitors based on CoMFA and CoMSIA studies.

M Ravi Shashi Nayana1, Y Nataraja Sekhar, Haritha Nandyala, Ravikumar Muttineni, Santosh Kumar Bairy, Kriti Singh, S K Mahmood.   

Abstract

In the present study, a series of 179 quinoline and quinazoline heterocyclic analogues exhibiting inhibitory activity against Gastric (H+/K+)-ATPase were investigated using the comparative molecular field analysis (CoMFA) and comparative molecular similarity indices (CoMSIA) methods. Both the models exhibited good correlation between the calculated 3D-QSAR fields and the observed biological activity for the respective training set compounds. The most optimal CoMFA and CoMSIA models yielded significant leave-one-out cross-validation coefficient, q(2) of 0.777, 0.744 and conventional cross-validation coefficient, r(2) of 0.927, 0.914 respectively. The predictive ability of generated models was tested on a set of 52 compounds having broad range of activity. CoMFA and CoMSIA yielded predicted activities for test set compounds with r(pred)(2) of 0.893 and 0.917 respectively. These validation tests not only revealed the robustness of the models but also demonstrated that for our models r(pred)(2) based on the mean activity of test set compounds can accurately estimate external predictivity. The factors affecting activity were analyzed carefully according to standard coefficient contour maps of steric, electrostatic, hydrophobic, acceptor and donor fields derived from the CoMFA and CoMSIA. These contour plots identified several key features which explain the wide range of activities. The results obtained from models offer important structural insight into designing novel peptic-ulcer inhibitors prior to their synthesis.

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Year:  2008        PMID: 18676164     DOI: 10.1016/j.jmgm.2008.04.012

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  3 in total

1.  Studies of H4R antagonists using 3D-QSAR, molecular docking and molecular dynamics.

Authors:  Jing Liu; Yan Li; Hui-Xiao Zhang; Shu-Wei Zhang; Ling Yang
Journal:  J Mol Model       Date:  2011-06-07       Impact factor: 1.810

2.  Studies of new fused benzazepine as selective dopamine D3 receptor antagonists using 3D-QSAR, molecular docking and molecular dynamics.

Authors:  Jing Liu; Yan Li; Shuwei Zhang; Zhengtao Xiao; Chunzhi Ai
Journal:  Int J Mol Sci       Date:  2011-02-18       Impact factor: 5.923

3.  A Quantitative Structure-Activity Relationship and Molecular Modeling Study on a Series of Heteroaryl- and Heterocyclyl-Substituted Imidazo[1,2-a]Pyridine Derivatives Acting as Acid Pump Antagonists.

Authors:  Neeraj Agarwal; Anubha Bajpai; Satya P Gupta
Journal:  Biochem Res Int       Date:  2013-09-08
  3 in total

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