Cargando…
Dimensionally reduced machine learning model for predicting single component octanol–water partition coefficients
MF-LOGP, a new method for determining a single component octanol–water partition coefficients ([Formula: see text] ) is presented which uses molecular formula as the only input. Octanol–water partition coefficients are useful in many applications, ranging from environmental fate and drug delivery. C...
Autores principales: | Kenney, David H., Paffenroth, Randy C., Timko, Michael T., Teixeira, Andrew R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9854055/ https://www.ncbi.nlm.nih.gov/pubmed/36658606 http://dx.doi.org/10.1186/s13321-022-00660-1 |
Ejemplares similares
-
Empirical prediction of peptide octanol-water partition coefficients
por: Hattotuwagama, Channa K, et al.
Publicado: (2006) -
Exploring the role of octanol-water partition coefficient and Henry’s law constant in predicting the lipid-water partition coefficients of organic chemicals
por: Khawar, Muhammad Irfan, et al.
Publicado: (2022) -
Exploring the octanol–water partition coefficient dataset using deep learning techniques and data augmentation
por: Ulrich, Nadin, et al.
Publicado: (2021) -
Octanol–Water Partition Coefficient Measurement
by a Simple (1)H NMR Method
por: Cumming, Hemi, et al.
Publicado: (2017) -
A New Approach on Estimation of Solubility and n-octanol/water Partition Coefficient for Organohalogen Compounds
por: Gao, Shuo, et al.
Publicado: (2008)