Cargando…
Structure-Based Predictive Models for Allosteric Hot Spots
In allostery, a binding event at one site in a protein modulates the behavior of a distant site. Identifying residues that relay the signal between sites remains a challenge. We have developed predictive models using support-vector machines, a widely used machine-learning method. The training data s...
Autores principales: | Demerdash, Omar N. A., Daily, Michael D., Mitchell, Julie C. |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2748687/ https://www.ncbi.nlm.nih.gov/pubmed/19816556 http://dx.doi.org/10.1371/journal.pcbi.1000531 |
Ejemplares similares
-
Measuring the density structure of an accretion hot spot
por: Espaillat, C. C., et al.
Publicado: (2021) -
Rigorous assessment and integration of the sequence and structure based features to predict hot spots
por: Chen, Ruoying, et al.
Publicado: (2011) -
KFC Server: interactive forecasting of protein interaction hot spots
por: Darnell, Steven J., et al.
Publicado: (2008) -
HotPoint: hot spot prediction server for protein interfaces
por: Tuncbag, Nurcan, et al.
Publicado: (2010) -
HotRegion: a database of predicted hot spot clusters
por: Cukuroglu, Engin, et al.
Publicado: (2012)