Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures

BACKGROUND: The structure of proteins may change as a result of the inherent flexibility of some protein regions. We develop and explore probabilistic machine learning methods for predicting a continuum secondary structure, i.e. assigning probabilities to the conformational states of a residue. We t...

Descripción completa

Detalles Bibliográficos
Autores principales: Bodén, Mikael, Yuan, Zheng, Bailey, Timothy L
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1386714/
https://www.ncbi.nlm.nih.gov/pubmed/16478545
http://dx.doi.org/10.1186/1471-2105-7-68

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1386714/
https://www.ncbi.nlm.nih.gov/pubmed/16478545
http://dx.doi.org/10.1186/1471-2105-7-68

Ejemplares similares