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...
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| Main Authors: | , , |
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| Format: | Book |
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International Association of Physical Chemists (IAPC),
2020-08-01T00:00:00Z.
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| Call Number: |
A1234.567 |
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