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Insight into the structural requirements of proton pump inhibitors based on CoMFA and CoMSIA studies.
J Mol Graph Model. 2008 Oct; 27(3):233-43.JM

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.

Authors+Show Affiliations

GVK Biosciences, Balanagar, Hyderabad, 500037 India.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article

Language

eng

PubMed ID

18676164

Citation

Nayana, M Ravi Shashi, et al. "Insight Into the Structural Requirements of Proton Pump Inhibitors Based On CoMFA and CoMSIA Studies." Journal of Molecular Graphics & Modelling, vol. 27, no. 3, 2008, pp. 233-43.
Nayana MR, Sekhar YN, Nandyala H, et al. Insight into the structural requirements of proton pump inhibitors based on CoMFA and CoMSIA studies. J Mol Graph Model. 2008;27(3):233-43.
Nayana, M. R., Sekhar, Y. N., Nandyala, H., Muttineni, R., Bairy, S. K., Singh, K., & Mahmood, S. K. (2008). Insight into the structural requirements of proton pump inhibitors based on CoMFA and CoMSIA studies. Journal of Molecular Graphics & Modelling, 27(3), 233-43. https://doi.org/10.1016/j.jmgm.2008.04.012
Nayana MR, et al. Insight Into the Structural Requirements of Proton Pump Inhibitors Based On CoMFA and CoMSIA Studies. J Mol Graph Model. 2008;27(3):233-43. PubMed PMID: 18676164.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Insight into the structural requirements of proton pump inhibitors based on CoMFA and CoMSIA studies. AU - Nayana,M Ravi Shashi, AU - Sekhar,Y Nataraja, AU - Nandyala,Haritha, AU - Muttineni,Ravikumar, AU - Bairy,Santosh Kumar, AU - Singh,Kriti, AU - Mahmood,S K, Y1 - 2008/05/09/ PY - 2008/01/17/received PY - 2008/04/15/revised PY - 2008/04/24/accepted PY - 2008/8/5/pubmed PY - 2008/12/17/medline PY - 2008/8/5/entrez SP - 233 EP - 43 JF - Journal of molecular graphics & modelling JO - J Mol Graph Model VL - 27 IS - 3 N2 - 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. SN - 1873-4243 UR - https://www.unboundmedicine.com/medline/citation/18676164/Insight_into_the_structural_requirements_of_proton_pump_inhibitors_based_on_CoMFA_and_CoMSIA_studies_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S1093-3263(08)00056-9 DB - PRIME DP - Unbound Medicine ER -