Cargando…
GasPhos: Protein Phosphorylation Site Prediction Using a New Feature Selection Approach with a GA-Aided Ant Colony System
Protein phosphorylation is one of the most important post-translational modifications, and many biological processes are related to phosphorylation, such as DNA repair, transcriptional regulation and signal transduction and, therefore, abnormal regulation of phosphorylation usually causes diseases....
Autores principales: | Chen, Chi-Wei, Huang, Lan-Ying, Liao, Chia-Feng, Chang, Kai-Po, Chu, Yen-Wei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660635/ https://www.ncbi.nlm.nih.gov/pubmed/33114312 http://dx.doi.org/10.3390/ijms21217891 |
Ejemplares similares
-
PhosPhAt: the Arabidopsis thaliana phosphorylation site database. An update
por: Durek, Pawel, et al.
Publicado: (2010) -
DeepPhos: prediction of protein phosphorylation sites with deep learning
por: Luo, Fenglin, et al.
Publicado: (2019) -
PhosPhAt goes kinases—searchable protein kinase target information in the plant phosphorylation site database PhosPhAt
por: Zulawski, Monika, et al.
Publicado: (2013) -
PredPhos: an ensemble framework for structure-based prediction of phosphorylation sites
por: Gao, Yong, et al.
Publicado: (2016) -
KinasePhos: a web tool for identifying protein kinase-specific phosphorylation sites
por: Huang, Hsien-Da, et al.
Publicado: (2005)