ACS Omega
(Jul 2020)
Pruned Machine Learning Models to Predict Aqueous Solubility
- Alexander L. Perryman,
- Daigo Inoyama,
- Jimmy S. Patel,
- Sean Ekins,
- Joel S. Freundlich
Affiliations
- Alexander L. Perryman
- Department of Pharmacology, Physiology, and Neuroscience, Rutgers UniversityNew Jersey Medical School, Newark, New Jersey, United States
- Daigo Inoyama
- Department of Pharmacology, Physiology, and Neuroscience, Rutgers UniversityNew Jersey Medical School, Newark, New Jersey, United States
- Jimmy S. Patel
- Department of Pharmacology, Physiology, and Neuroscience, Rutgers UniversityNew Jersey Medical School, Newark, New Jersey, United States
- Sean Ekins
- Collaborations in Chemistry, Inc., Fuquay-Varina, North Carolina, United States
- Joel S. Freundlich
- Department of Pharmacology, Physiology, and Neuroscience, Rutgers UniversityNew Jersey Medical School, Newark, New Jersey, United States
- DOI
-
https://doi.org/10.1021/acsomega.0c01251
- Journal volume & issue
-
Vol. 5,
no. 27
pp.
16562
– 16567
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