Cargando…
Predicting DNA-binding locations and orientation on proteins using knowledge-based learning of geometric properties
BACKGROUND: DNA-binding proteins perform their functions through specific or non-specific sequence recognition. Although many sequence- or structure-based approaches have been proposed to identify DNA-binding residues on proteins or protein-binding sites on DNA sequences with satisfied performance,...
Autores principales: | Wang, Chien-Chih, Chen, Chien-Yu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3289072/ https://www.ncbi.nlm.nih.gov/pubmed/22166082 http://dx.doi.org/10.1186/1477-5956-9-S1-S11 |
Ejemplares similares
-
Prediction of DNA-binding protein based on statistical and geometric features and support vector machines
por: Zhou, Weiqiang, et al.
Publicado: (2011) -
DNA-binding residues and binding mode prediction with binding-mechanism concerned models
por: Huang, Yu-Feng, et al.
Publicado: (2009) -
Predicting RNA-binding residues from evolutionary information and sequence conservation
por: Huang, Yu-Feng, et al.
Publicado: (2010) -
Detection of splicing events and multiread locations from RNA-seq data based on a geometric-tail (GT) distribution of intron length
por: Lou, Shao-Ke, et al.
Publicado: (2011) -
Prediction of DNA-binding propensity of proteins by the ball-histogram method using automatic template search
por: Szabóová, Andrea, et al.
Publicado: (2012)