Cargando…
EPSILON-CP: using deep learning to combine information from multiple sources for protein contact prediction
BACKGROUND: Accurately predicted contacts allow to compute the 3D structure of a protein. Since the solution space of native residue-residue contact pairs is very large, it is necessary to leverage information to identify relevant regions of the solution space, i.e. correct contacts. Every additiona...
Autores principales: | Stahl, Kolja, Schneider, Michael, Brock, Oliver |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5474060/ https://www.ncbi.nlm.nih.gov/pubmed/28623886 http://dx.doi.org/10.1186/s12859-017-1713-x |
Ejemplares similares
-
Combining Physicochemical and Evolutionary Information for Protein Contact Prediction
por: Schneider, Michael, et al.
Publicado: (2014) -
The quest for the direct CP violation parameter, epsilon'/epsilon
por: Soni, Amarjit
Publicado: (2015) -
A new calculation for direct CP violation: $\epsilon'/\epsilon$
por: Paschos, E A
Publicado: (2000) -
A precise measurement of the direct CP violation parameter $\Re(\epsilon'/\epsilon)$
por: Lai, A., et al.
Publicado: (2001) -
On the direct CP violation parameter epsilon prime
por: Sozzi, M S
Publicado: (2004)