Cargando…
Predicting partition coefficients for the SAMPL7 physical property challenge using the ClassicalGSG method
The prediction of log P values is one part of the statistical assessment of the modeling of proteins and ligands (SAMPL) blind challenges. Here, we use a molecular graph representation method called Geometric Scattering for Graphs (GSG) to transform atomic attributes to molecular features. The atomi...
Autores principales: | Donyapour, Nazanin, Dickson, Alex |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8295205/ https://www.ncbi.nlm.nih.gov/pubmed/34181200 http://dx.doi.org/10.1007/s10822-021-00400-x |
Ejemplares similares
-
REVO: Resampling of ensembles by variation optimization
por: Donyapour, Nazanin, et al.
Publicado: (2019) -
Multiple linear regression models for predicting the n‑octanol/water partition coefficients in the SAMPL7 blind challenge
por: Lopez, Kenneth, et al.
Publicado: (2021) -
The SAMPL6 challenge on predicting octanol–water partition coefficients from EC-RISM theory
por: Tielker, Nicolas, et al.
Publicado: (2020) -
Prediction of n-octanol/water partition coefficients and acidity constants (pK(a)) in the SAMPL7 blind challenge with the IEFPCM-MST model
por: Viayna, Antonio, et al.
Publicado: (2021) -
Determination of air-loop volume and radon partition coefficient for measuring radon in water sample
por: Lee, Kil Yong, et al.
Publicado: (2013)