Cargando…
Protein–Protein Interactions Efficiently Modeled by Residue Cluster Classes
Predicting protein–protein interactions (PPI) represents an important challenge in structural bioinformatics. Current computational methods display different degrees of accuracy when predicting these interactions. Different factors were proposed to help improve these predictions, including choosing...
Autores principales: | Poot Velez, Albros Hermes, Fontove, Fernando, Del Rio, Gabriel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7370293/ https://www.ncbi.nlm.nih.gov/pubmed/32640745 http://dx.doi.org/10.3390/ijms21134787 |
Ejemplares similares
-
Residue Cluster Classes: A Unified Protein Representation for Efficient Structural and Functional Classification
por: Fontove, Fernando, et al.
Publicado: (2020) -
Efficient Identification of Critical Residues Based Only on Protein Structure by Network Analysis
por: Cusack, Michael P., et al.
Publicado: (2007) -
Systematic Identification of Machine-Learning Models Aimed to Classify Critical Residues for Protein Function from Protein Structure
por: Corral-Corral, Ricardo, et al.
Publicado: (2017) -
The effect of the genomic GC content bias of prokaryotic organisms on the secondary structures of their proteins
por: Barceló-Antemate, Diana, et al.
Publicado: (2023) -
Improved prediction of critical residues for protein function based on network and phylogenetic analyses
por: Thibert, Boris, et al.
Publicado: (2005)