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...The program models a given property's dependence on a collection of molecular and structural descriptors using a training set of molecules. Neural networks and support vector regression are available, as well as linear models. The models generated by this analysis can then be used to predict the properties of compounds during the development of new and novel drugs. The program and its databases are all open-source.
Solubility provides a GUI allowing users to develop regression models to predict the aqueous solubility of a molecule. Users can choose or create descriptors and/or atomic typing parameters, train the model, and apply it to large databases. 100% Java.