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Neural Network Modeling for Estimation of the Aqueous Solubility of Structurally Related Drugs
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/jps.2600681019openalex-snapshot
Solubility Determination of Barely Aqueous-Soluble Organic Solids
inferredcites →https://doi.org/10.1002/jps.2600690814openalex-snapshot
Solubility and partitioning I: Solubility of nonelectrolytes in water
inferredcites →https://doi.org/10.1002/jps.2600810924openalex-snapshot
A new method for the estimation of the aqueous solubility of organic compounds
inferredcites →https://doi.org/10.1002/jps.2600830706openalex-snapshot
Estimation and Correlation of Drug Water Solubility with Pharmacological Parameters Required for Biological Activity
inferredcites →https://doi.org/10.1002/qsar.19880070105openalex-snapshot
Crossvalidation, Bootstrapping, and Partial Least Squares Compared with Multiple Regression in Conventional QSAR Studies
inferredcites →https://doi.org/10.1007/bf00129753openalex-snapshot
Development of an automatic estimation system for both the partition coefficient and aqueous solubility
inferredcites →https://doi.org/10.1016/0045-6535(89)90468-2openalex-snapshot
Aqueous solubility and n-octanol/water partition coefficient correlations
inferredcites →https://doi.org/10.1016/0045-6535(91)90049-jopenalex-snapshot
Correlation of aqueous solubility and octanol-water partition coefficient based on molecular structure
inferredcites →https://doi.org/10.1016/0160-9327(86)90116-xopenalex-snapshot
Molecular connectivity in structure-activity analysis
inferredcites →https://doi.org/10.1016/0304-3894(93)e0049-8openalex-snapshot
Prediction of aqueous solubility and octanol—water partition coefficient for pesticides based on their molecular structure
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Physico-chemical properties of barbituric acid derivatives: IV. Solubilities of 5,5-disubstituted barbituric acids in water
inferredcites →https://doi.org/10.1021/ci00009a013openalex-snapshot
Estimation of aqueous solubility of organic molecules by the group contribution approach. Application to the study of biodegradation
inferredcites →https://doi.org/10.1021/ci00019a019openalex-snapshot
Prediction of Aqueous Solubility of Organic Compounds
inferredcites →https://doi.org/10.1021/ci00027a006openalex-snapshot
Neural network studies. 1. Comparison of overfitting and overtraining
inferredcites →https://doi.org/10.1021/ci9501507openalex-snapshot
Prediction of Aqueous Solubility for a Diverse Set of Heteroatom-Containing Organic Compounds Using a Quantitative Structure−Property Relationship
inferredcites →https://doi.org/10.1021/ja00025a009openalex-snapshot
Neural network studies. 1. Estimation of the aqueous solubility of organic compounds
inferredcites →https://doi.org/10.1021/jm00059a003openalex-snapshot
Applications of neural networks in structure-activity relationships of a small number of molecules
inferredcites →https://doi.org/10.1021/jm00113a022openalex-snapshot
Applications of neural networks in quantitative structure-activity relationships of dihydrofolate reductase inhibitors
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An Electrotopological-State Index for Atoms in Molecules
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An investigation of the distribution coefficients of some androgen esters using paper chromatography
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