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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...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2006
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| Materias: | |
| 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 |