Cargando…
Development of Dimethyl Sulfoxide Solubility Models Using 163 000 Molecules: Using a Domain Applicability Metric to Select More Reliable Predictions
[Image: see text] The dimethyl sulfoxide (DMSO) solubility data from Enamine and two UCB pharma compound collections were analyzed using 8 different machine learning methods and 12 descriptor sets. The analyzed data sets were highly imbalanced with 1.7–5.8% nonsoluble compounds. The libraries’ enric...
Autores principales: | Tetko, Igor V., Novotarskyi, Sergii, Sushko, Iurii, Ivanov, Vladimir, Petrenko, Alexander E., Dieden, Reiner, Lebon, Florence, Mathieu, Benoit |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2013
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3760295/ https://www.ncbi.nlm.nih.gov/pubmed/23855787 http://dx.doi.org/10.1021/ci400213d |
Ejemplares similares
-
Classification of CYP450 1A2 inhibitors using PubChem data
por: Novotarskyi, Sergii, et al.
Publicado: (2010) -
In silico pK(a) prediction
por: Körner, Robert, et al.
Publicado: (2012) -
Chemogenomic approach to increase accuracy of QSAR modeling of inhibition activity against five major P450 isoforms
por: Novotarskyi, Sergii, et al.
Publicado: (2013) -
QSAR modeling for In vitro assays: linking ToxCast™ database to the integrated modeling framework “OCHEM”
por: Abdelaziz, Ahmed, et al.
Publicado: (2012) -
Applicability domain for classification problems
por: Sushko, Iurii, et al.
Publicado: (2010)