Cargando…
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: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
International Association of Physical Chemists
2020
|
| 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 |