Neural Network Modeling for Estimation of the Aqueous Solubility of Structurally Related Drugs
- 1 April 1997
- journal article
- Published by American Geophysical Union (AGU) in Journal of Pharmaceutical Sciences
- Vol. 86 (4) , 450-454
- https://doi.org/10.1021/js960358m
Abstract
No abstract availableKeywords
This publication has 19 references indexed in Scilit:
- Prediction of Aqueous Solubility for a Diverse Set of Heteroatom-Containing Organic Compounds Using a Quantitative Structure−Property RelationshipJournal of Chemical Information and Computer Sciences, 1996
- Physico-chemical properties of barbituric acid derivatives: IV. Solubilities of 5,5-disubstituted barbituric acids in waterInternational Journal of Pharmaceutics, 1994
- Estimation and Correlation of Drug Water Solubility with Pharmacological Parameters Required for Biological ActivityJournal of Pharmaceutical Sciences, 1994
- Prediction of Aqueous Solubility of Organic CompoundsJournal of Chemical Information and Computer Sciences, 1994
- Prediction of aqueous solubility and octanol—water partition coefficient for pesticides based on their molecular structureJournal of Hazardous Materials, 1994
- Estimation of aqueous solubility of organic molecules by the group contribution approach. Application to the study of biodegradationJournal of Chemical Information and Computer Sciences, 1992
- Development of an automatic estimation system for both the partition coefficient and aqueous solubilityJournal of Computer-Aided Molecular Design, 1991
- Correlation of aqueous solubility and octanol-water partition coefficient based on molecular structureChemosphere, 1991
- Aqueous solubility and n-octanol/water partition coefficient correlationsChemosphere, 1989
- Solubility and partitioning I: Solubility of nonelectrolytes in waterJournal of Pharmaceutical Sciences, 1980