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Predicting protein secondary structure with probabilistic schemata of evolutionarily derived information.
We demonstrate the applicability of our previously developed Bayesian probabilistic approach for predicting residue solvent accessibility to the problem of predicting secondary structure. Using only single-sequence data, this method achieves a three-state accuracy of 67% over a database of 473 non-h...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Cold Spring Harbor Laboratory Press
1997
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2143796/ https://ncbi.nlm.nih.gov/pubmed/9300496 |
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