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CRNPRED: highly accurate prediction of one-dimensional protein structures by large-scale critical random networks
BACKGROUND: One-dimensional protein structures such as secondary structures or contact numbers are useful for three-dimensional structure prediction and helpful for intuitive understanding of the sequence-structure relationship. Accurate prediction methods will serve as a basis for these and other p...
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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2006
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1578593/ https://ncbi.nlm.nih.gov/pubmed/16952323 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-7-401 |
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