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Journal of Separation Science|November 18, 2010
Quantitative structure-property relationship modeling of water-to-wet butyl acetate partition coefficient of 76 organic solutes using multiple linear regression and artificial neural networkZahra Dashtbozorgi, Hassan GolmohammadiEuropean Journal of Medicinal Chemistry|February 16, 2010
Prediction of air to liver partition coefficient for volatile organic compounds using QSAR approachesZahra Dashtbozorgi, Hassan GolmohammadiAnalytical Sciences : the International Journal of the Japan Society for Analytical Chemistry|September 12, 2009
Prediction of gas-to-olive oil partition coefficients of organic compounds using an artificial neural networkHassan Golmohammadi, Elahe Konoz, Zahra DashtbozorgiJournal of Separation Science|September 24, 2017
Modeling and predicting the solute polarity parameter in reversed-phase liquid chromatography using quantitative structure-property relationship approachesHassan Golmohammadi, Zahra Dashtbozorgi, Sajad KhooshechinMolecular Informatics|August 2, 2016
Prediction of Bovine Serum Albumin-Water Partition Coefficients of a Wide Variety of Neutral Organic Compounds by Means of Support Vector MachineHassan Golmohammadi, Zahra Dashtbozorgi, William E AcreeEuropean Journal of Pharmaceutical Sciences : Official Journal of the European Federation for Pharmaceutical Sciences|July 10, 2012
Quantitative structure-activity relationship prediction of blood-to-brain partitioning behavior using support vector machineHassan Golmohammadi, Zahra Dashtbozorgi, William E AcreeMolecular Informatics|August 2, 2016
A Novel QSPR Model for Prediction of Gas to Dimethyl Sulfoxide Solvation Enthalpy of Organic Compounds Based on Support Vector MachineHassan Golmohammadi, Zahra Dashtbozorgi, William E AcreePageof 1