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Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
BACKGROUND: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction. Thus far, however, they have been confined to representing 1D sequence (or the aspects of structure that could be repre...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
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BioMed Central
2004
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC344530/ https://www.ncbi.nlm.nih.gov/pubmed/14715091 http://dx.doi.org/10.1186/1471-2105-5-2 |