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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...

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Autori principali: Bodén, Mikael, Yuan, Zheng, Bailey, Timothy L
Natura: Artigo
Lingua:Inglês
Pubblicazione: BioMed Central 2006
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC1386714/
https://ncbi.nlm.nih.gov/pubmed/16478545
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-7-68
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