Title of article :
QSAR prediction of inhibition of aldose reductase for flavonoids Original Research Article
Author/Authors :
Andrew G. Mercader، نويسنده , , Pablo R. Duchowicz، نويسنده , , Francisco M. Fernandez، نويسنده , , Eduardo A. Castro، نويسنده , , Daniel O. Bennardi، نويسنده , , Juan C. Autino، نويسنده , , Gustavo P. Romanelli، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2008
Pages :
7
From page :
7470
To page :
7476
Abstract :
We performed a predictive analysis based on quantitative structure–activity relationships (QSAR) of an important property of flavonoids, which is the inhibition (IC50) of aldose reductase (AR). The importance of AR inhibition is that it prevents cataract formation in diabetic patients. The best linear model constructed from 55 molecular structures incorporated six molecular descriptors, selected from more than a thousand geometrical, topological, quantum-mechanical, and electronic types of descriptors. As a practical application, we used the obtained QSAR model to predict the AR inhibitory effect of newly synthesized flavonoids that present 2-, 7-substitutions in the benzopyrane backbone.
Keywords :
Flavone derivative , Cataract prevention , Enhanced replacement method , Genetic Algorithm , Aldose reductase inhibition , Replacement Method , QSAR , Dragon molecular descriptors
Journal title :
Bioorganic and Medicinal Chemistry
Serial Year :
2008
Journal title :
Bioorganic and Medicinal Chemistry
Record number :
1306798
Link To Document :
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