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A new decoding algorithm for hidden Markov models improves the prediction of the topology of all-beta membrane proteins
BACKGROUND: Structure prediction of membrane proteins is still a challenging computational problem. Hidden Markov models (HMM) have been successfully applied to the problem of predicting membrane protein topology. In a predictive task, the HMM is endowed with a decoding algorithm in order to assign...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2005
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1866396/ https://ncbi.nlm.nih.gov/pubmed/16351738 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-6-S4-S12 |
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