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ADME prediction with KNIME: In silico aqueous solubility consensus model based on supervised recursive random forest approaches
In-silico prediction of aqueous solubility plays an important role during the drug discovery and development processes. For many years, the limited performance of in-silico solubility models has been attributed to the lack of high-quality solubility data for pharmaceutical molecules. However, some s...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Association of Physical Chemists
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915604/ https://www.ncbi.nlm.nih.gov/pubmed/35300309 http://dx.doi.org/10.5599/admet.852 |