Title of article :
Prediction of partition coefficient of some 3-hydroxy pyridine-4-one derivatives using combined partial least square regression and genetic algorithm
Author/Authors :
Shahlaei، M. نويسنده Department of Medicinal Chemistry and Nano Drug Delivery Research Center, Faculty of Pharmacy, Kermanshah University of Medical Sciences, Kermanshah, I.R. Iran. , , Fassihi، A. نويسنده Department of Medicinal Chemistry and Isfahan Pharmaceutical Research Center, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, I.R. Iran. , , Saghaie، L. نويسنده , , Zare، A. نويسنده Department of Medicinal Chemistry, Isfahan Pharmaceutical Sciences Research Center and Bioinformatics Research Center, Faculty of Pharmacy, Isfahan University of Medical Sciences, Isfahan, I.R. Iran. ,
Issue Information :
دوماهنامه با شماره پیاپی 0 سال 2014
Pages :
11
From page :
143
To page :
153
Abstract :
A quantiatative structure property relationship (QSPR) treatment was used to a data set consisting of diverse 3-hydroxypyridine-4-one derivatives to relate the logarithmic function of octanol:water partition coefficients (denoted by log po/w) with theoretical molecular descriptors. Evaluation of a test set of 6 compounds with the developed partial least squares (PLS) model revealed that this model is reliable with a good predictability. Since the QSPR study was performed on the basis of theoretical descriptors calculated completely from the molecular structures, the proposed model could potentially provide useful information about the activity of the studied compounds. Various tests and criteria such as leave-one-out cross validation, leave-many-out cross validation, and also criteria suggested by Tropsha were employed to examine the predictability and robustness of the developed model.
Journal title :
Research in Pharmaceutical Sciences
Serial Year :
2014
Journal title :
Research in Pharmaceutical Sciences
Record number :
1642621
Link To Document :
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