References: Comments on prediction of the aqueous solubility using the general solubility equation (GSE) versus a genetic algorithm and a support vector machine model

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Admire B, Yalkowsky S. 2013. Predicting the octanol solubility of organic compounds. J Pharm Sci. 102:2112–2119.
PubMed Web of Science ®Google Scholar
Bahadori B, Atabati M, Zarei K. 2016. Better prediction of aqueous solubility of chlorinated hydrocarbons using support vector machine modeling. Environ Chem Lett. 14:541–548.
Web of Science ®Google Scholar
Isnard P, Lambert S. 1988. Estimating bioconcentration factors from octanol–water partition coefficient and aqueous solubilibity. Chemosphere. 17:21–34.
Web of Science ®Google Scholar
Klmat A, Smith B. 2007. Challenge of drug solubility prediction. In: Mannhold R, editor. Molecular drug properties – measurement and prediction. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA; p. 287–289.
Google Scholar
Palmer D, Mitchell J. 2014. Is experimental data quality the limiting factor in predicting the aqueous solubility of druglike molecules? Mol Pharm. 11:2962–2972.
PubMed Web of Science ®Google Scholar
Yalkowsky S, Valvani S. 1980. Solubility and partitioning I: solubility of nonelectrolytes in water. J Pharm Sci. 69:912–922.
PubMed Web of Science ®Google Scholar
Yalkowsky S, Valvani S, Roseman T. 1983. Solubility and partitioning VI: octanol solubility and octanol–water partition coefficients. J Pharm Sci. 72:866–870.
PubMed Web of Science ®Google Scholar

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Comments on prediction of the aqueous solubility using the general solubility equation (GSE) versus a genetic algorithm and a support vector machine model

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Comments on prediction of the aqueous solubility using the general solubility equation (GSE) versus a genetic algorithm and a support vector machine model

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