Quantitative structure-activity relationships of selective antagonists of glucagon receptor using QuaSAR descriptors.

Palanivelu Manoj Kumar, Chandrabose Karthikeyan, Narayana Subbiah Hari Narayana Moorthy, Piyush Trivedi

Department of Pharmacy, Shri G S Institute of Technology and Science, Madhya Pradesh, India.

Journal Article: CHEMICAL & PHARMACEUTICAL BULLETIN (impact factor: 1.7). 12/2006; 54(11):1586-91.

Abstract

In the present paper, quantitative structure activity relationship (QSAR) approach was applied to understand the affinity and selectivity of a novel series of triaryl imidazole derivatives towards glucagon receptor. Statistically significant and highly predictive QSARs were derived for glucagon receptor inhibition by triaryl imidazoles using QuaSAR descriptors of molecular operating environment (MOE) employing computer-assisted multiple regression procedure. The generated QSAR models revealed that factors related to hydrophobicity, molecular shape and geometry predominantly influences glucagon receptor binding affinity of the triaryl imidazoles indicating the relevance of shape specific steric interactions between the molecule and the receptor. Further, QSAR models formulated for selective inhibition of glucagon receptor over p38 mitogen activated protein (MAP) kinase of the compounds in the series highlights that the same structural features, which influence the glucagon receptor affinity, also contribute to their selective inhibition.

Source: PubMed

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Keywords

computer-assisted multiple regression procedure
 
generated QSAR models
 
glucagon receptor
 
glucagon receptor affinity
 
glucagon receptor inhibition
 
hydrophobicity
 
novel series
 
p38 mitogen activated protein
 
predictive QSARs
 
QSAR models
 
quantitative structure activity relationship
 
QuaSAR descriptors
 
selective inhibition
 
shape specific steric interactions
 
structural features
 
triaryl imidazole derivatives
 
triaryl imidazoles