Cargando…
A structure-based protocol for learning the family-specific mechanisms of membrane-binding domains
Motivation: Peripheral membrane-targeting domain (MTD) families, such as C1-, C2- and PH domains, play a key role in signal transduction and membrane trafficking by dynamically translocating their parent proteins to specific plasma membranes when changes in lipid composition occur. It is, however, d...
Autores principales: | Källberg, Morten, Bhardwaj, Nitin, Langlois, Robert, Lu, Hui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3436836/ https://www.ncbi.nlm.nih.gov/pubmed/22962463 http://dx.doi.org/10.1093/bioinformatics/bts409 |
Ejemplares similares
-
Kernel-based machine learning protocol for predicting DNA-binding proteins
por: Bhardwaj, Nitin, et al.
Publicado: (2005) -
An improved machine learning protocol for the identification of correct Sequest search results
por: Källberg, Morten, et al.
Publicado: (2010) -
Boosting the prediction and understanding of DNA-binding domains from sequence
por: Langlois, Robert E., et al.
Publicado: (2010) -
Solution structure and binding specificity of the p63 DNA binding domain
por: Enthart, Andreas, et al.
Publicado: (2016) -
PDZ domains and their binding partners: structure, specificity, and modification
por: Lee, Ho-Jin, et al.
Publicado: (2010)