Cargando…
Automatic generation of 3D motifs for classification of protein binding sites
BACKGROUND: Since many of the new protein structures delivered by high-throughput processes do not have any known function, there is a need for structure-based prediction of protein function. Protein 3D structures can be clustered according to their fold or secondary structures to produce classes of...
Autores principales: | Nebel, Jean-Christophe, Herzyk, Pawel, Gilbert, David R |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1995225/ https://www.ncbi.nlm.nih.gov/pubmed/17760982 http://dx.doi.org/10.1186/1471-2105-8-321 |
Ejemplares similares
-
Automatic generation of bioinformatics tools for predicting protein–ligand binding sites
por: Komiyama, Yusuke, et al.
Publicado: (2016) -
Probabilistic grammatical model for helix‐helix contact site
classification
por: Dyrka, Witold, et al.
Publicado: (2013) -
LibME—automatic extraction of 3D ligand‐binding motifs for mechanistic analysis of protein–ligand recognition
por: He, Wei, et al.
Publicado: (2016) -
Automated classification of RNA 3D motifs and the RNA 3D Motif Atlas
por: Petrov, Anton I., et al.
Publicado: (2013) -
SiteMotif: A graph-based algorithm for deriving structural motifs in Protein Ligand binding sites
por: Sankar, Santhosh, et al.
Publicado: (2022)