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ADMET & DMPK|March 18, 2022
ADME prediction with KNIME: <i>In silico</i> aqueous solubility consensus model based on supervised recursive random forest approachesGabriela Falcón-Cano, Christophe Molina, Miguel Ángel Cabrera-Pérez
ADMET & DMPK|March 18, 2022
ADME prediction with KNIME: A retrospective contribution to the second "Solubility Challenge"Gabriela Falcón-Cano, Christophe Molina, Miguel Ángel Cabrera-Pérez
Journal of Chemical Information and Modeling|May 8, 2020
ADME Prediction with KNIME: Development and Validation of a Publicly Available Workflow for the Prediction of Human Oral BioavailabilityGabriela Falcón-Cano, Christophe Molina, Miguel Ángel Cabrera-Pérez
Pharmaceutics|October 27, 2022
Reliable Prediction of Caco-2 Permeability by Supervised Recursive Machine Learning ApproachesGabriela Falcón-Cano, Christophe Molina, Miguel Ángel Cabrera-Pérez
Scientific Reports|May 4, 2025
hERG toxicity prediction in early drug discovery using extreme gradient boosting and isometric stratified ensemble mappingGabriela Falcón-Cano, Aliuska Morales-Helguera, Heather Lambert, et al.
Journal of Chemical Information and Modeling|June 30, 2021
A Novel Automated Framework for QSAR Modeling of Highly Imbalanced <i>Leishmania</i> High-Throughput Screening DataOmar Casanova-Alvarez, Aliuska Morales-Helguera, Miguel Ángel Cabrera-Pérez, et al.
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