Loading…

Electronic Structure of Some Adenosine Receptor Antagonists. VQSAR Investigation

A QSAR model has been developed for 1,3-dimethylxanthines as adenosine receptor antagonists. The model is capable of predicting the affinity toward both the A1 and A2 receptors. Constitutional, geometrical, topological, electronic descriptors (computed at the ab initio 6-31G level), and some empiric...

Full description

Saved in:
Bibliographic Details
Published in:Journal of Chemical Information and Computer Sciences 2002-03, Vol.42 (2), p.386-392
Main Authors: El-Taher, Sabry, El-sawy, K. M, Hilal, Rifaat
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A QSAR model has been developed for 1,3-dimethylxanthines as adenosine receptor antagonists. The model is capable of predicting the affinity toward both the A1 and A2 receptors. Constitutional, geometrical, topological, electronic descriptors (computed at the ab initio 6-31G level), and some empirical descriptors related to the hypophilicitywere computed and analyzed. A two step computational strategy was adopted to select the descriptors relevant to the A1 or the A2 affinity. In the first step, each of the four main groups of descriptors is treated independently. Multiple regression analysis lead to a set of equations that reflect the weight of each of the studied descriptors. The most relevant of these descriptors were grouped, and a new multiple regression analysis has been carried out and arrived at the final QSAR model. These QSAR equations account for almost all the A2 and an appreciable part of the A1 affinity. The proposed model has been examined as a general tool of predicting the activity toward the adenosine receptor sites. Avalidation set of 22 xanthines were selected, and their activities were computed using the proposed QSAR model. The correspondence between the predicted and observed activities is excellent. Anova statistical analysis on the data of the validation set elaborates on the quality of these fits.
ISSN:0095-2338
1549-960X
DOI:10.1021/ci010307x