A NOVEL QSAR MODEL FOR EVALUATING AND PREDICTING THE INHIBITION ACTIVITY OF H1-RECEPTOR ANTAGONISTS: A SERIES OF THIENOPYRIMIDINE DERIVATIVES

Authors

  • Meenakshi Singh PhD Research Scholar Department of Pharmaceutics Institute of Technology Banaras Hindu University (BHU) Varanasi – 221005, U.P., INDIA
  • Sushil K Singh Department of Pharmaceutics, Institute of Technology, Banaras Hindu University (BHU), Varanasi-221005, U.P., India
  • Mahesh T Chhabria Department of Pharmaceutical Chemistry, L.M. College of Pharmacy, Navrangpura, Ahmedabad-380009, Gujarat, India

Abstract

ABSTRACT

A Quantitative Structure Activity Relationship (QSAR) study has been established using combination of most influencing physiochemical parameters viz. thermodynamic, electronic, geometric & quantum mechanical descriptors, and H1-antihistaminic activity of a series of thienopyrimidines, the novel Histamine H1 receptor antagonists. Genetic function approximation (GFA) technique was used to identify the descriptors that have influence on biological activity. Dipole, AlogP 98, Jurs and LUMO descriptors were found to influence biological activity significantly. Lipophilicity of compounds was found to have a significant role in H1 Histaminic inhibition along with other thermodynamic, spatial and electronic descriptors. Positive contribution of Dipole, AlogP 98 descriptors suggests that molecules with lipophilic-electronic substituents are more likely to improve the potency. Developed models were found to be significant and predictive as evidenced from their internal and external cross-validation statistics.

 

Keywords: H1-receptor antagonists; thienopyrimidines; molecular descriptor; genetic function approximations; cross-validation; quantitative structure activity relationship

Abbreviations:

QSAR : Quantitative structure activity relationship

GFA    : Genetic function approximation

LOF    : Friedman’s lack of fit

VIF     : Variance inflation factor

 

DOI

https://doi.org/10.22270/jddt.v2i1.52

Author Biographies

Meenakshi Singh, PhD Research Scholar Department of Pharmaceutics Institute of Technology Banaras Hindu University (BHU) Varanasi – 221005, U.P., INDIA

PhD research Scholar

Department of pharmaceutics

Sushil K Singh, Department of Pharmaceutics, Institute of Technology, Banaras Hindu University (BHU), Varanasi-221005, U.P., India

Department of Pharmaceutics, Institute of Technology, Banaras Hindu University (BHU), Varanasi-221005, U.P., India

Mahesh T Chhabria, Department of Pharmaceutical Chemistry, L.M. College of Pharmacy, Navrangpura, Ahmedabad-380009, Gujarat, India

Department of Pharmaceutical Chemistry, L.M. College of Pharmacy, Navrangpura, Ahmedabad-380009, Gujarat, India

Published

2012-01-19
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How to Cite

1.
Singh M, Singh SK, Chhabria MT. A NOVEL QSAR MODEL FOR EVALUATING AND PREDICTING THE INHIBITION ACTIVITY OF H1-RECEPTOR ANTAGONISTS: A SERIES OF THIENOPYRIMIDINE DERIVATIVES. J. Drug Delivery Ther. [Internet]. 2012 Jan. 19 [cited 2026 Jan. 20];2(1). Available from: https://jddtonline.info/index.php/jddt/article/view/52

Issue

Vol. 2 No. 1 (2012): Volume 2, Issue 1, Jan-Feb 2012

Section

Research

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How to Cite

1.
Singh M, Singh SK, Chhabria MT. A NOVEL QSAR MODEL FOR EVALUATING AND PREDICTING THE INHIBITION ACTIVITY OF H1-RECEPTOR ANTAGONISTS: A SERIES OF THIENOPYRIMIDINE DERIVATIVES. J. Drug Delivery Ther. [Internet]. 2012 Jan. 19 [cited 2026 Jan. 20];2(1). Available from: https://jddtonline.info/index.php/jddt/article/view/52
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