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Modeling of the Interaction of Flavanoids with GABA (A) Receptor Using PRECLAV (Property-Evaluation by Class Variables)
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作者 vijay K. Agrawal Basheerulla Shaik +1 位作者 padmakar v. khadikar Shalini Singh 《Pharmacology & Pharmacy》 2011年第4期271-281,共11页
Quantitative Structure-Activity Relationship (2D-QSAR) models for binding affinity constants (log Ki) of 78 flavanoid ligands towards the benzodiazepine site of GABA (A) receptor complex were estimated using the PRECL... Quantitative Structure-Activity Relationship (2D-QSAR) models for binding affinity constants (log Ki) of 78 flavanoid ligands towards the benzodiazepine site of GABA (A) receptor complex were estimated using the PRECLAV (Property-Evaluation by Class Variables) program. The best MLR equation with nine PRECLAV descriptors has R2 = 0.843 and R2C = 0.782. Attempt is also made for obtaining 2D-QSAR model using NCSS software. The comparison of the results indicated that the PRECLAV method is very efficient in detecting structure-activity correlation with good predictive power. 展开更多
关键词 PRECLAV NCSS Regression Analysis Cross-Validation GABA FLAVANOIDS
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