3D-QSAR Studies on a Series of 5-Arylidine-2, 4-Thiazolidinediones as Aldose Reductase Inhibitors: A Self-Organizing Molecular Field Analysis Approach

Author(s): Suresh Thareja, Saurabh Aggarwal, Tilak Raj Bhardwaj, Manoj Kumar.

Journal Name: Medicinal Chemistry

Volume 6 , Issue 1 , 2010

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Abstract:

Aldose Reductase (AR), the key enzyme of the polyol pathway catalyzes the reduction of glucose to sorbitol using nicotinamide adenine dinucleotide phosphate as an essential cofactor, has been demonstrated to play an important role in the pathogenesis of diabetic complications. Self Organizing Molecular Field Analysis (SOMFA), a novel threedimensional quantitative structure activity relationship (3D-QSAR) method has been used in present case to study the correlation between the molecular properties and the aldose reductase inhibitory activities on a series of 5-arylidine-2, 4- thiazolidinedione. SOMFA calculations for both shape and electrostatic potentials were carried out. The master grid maps derived from the best model has been used to display the contribution of both electrostatic and shape potential. The statistical results showed good cross-validated r2 CV, non cross-validated r2, F-test set and significant predictive ability indicated by r2 pred. All analysis of SOMFA models may provide useful information in the design of new aldose reductase inhibitors with improved spectrum of activity for management of diabetic complications.

Keywords: Aldose reductase, Diabetic complications, Diabetes, Thiazolidinedione, 3D-QSAR, SOMFA

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Article Details

VOLUME: 6
ISSUE: 1
Year: 2010
Page: [30 - 36]
Pages: 7
DOI: 10.2174/157340610791208718

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