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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...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2006
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1578593/ https://www.ncbi.nlm.nih.gov/pubmed/16952323 http://dx.doi.org/10.1186/1471-2105-7-401 |