Protein secondary structure prediction for a single-sequence using hidden semi-Markov models

BACKGROUND: The accuracy of protein secondary structure prediction has been improving steadily towards the 88% estimated theoretical limit. There are two types of prediction algorithms: Single-sequence prediction algorithms imply that information about other (homologous) proteins is not available, w...

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Detalles Bibliográficos
Autores principales: Aydin, Zafer, Altunbasak, Yucel, Borodovsky, Mark
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1479840/
https://www.ncbi.nlm.nih.gov/pubmed/16571137
http://dx.doi.org/10.1186/1471-2105-7-178

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1479840/
https://www.ncbi.nlm.nih.gov/pubmed/16571137
http://dx.doi.org/10.1186/1471-2105-7-178

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