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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...

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Detalles Bibliográficos
Autores principales: Alexandrov, Vadim, Gerstein, Mark
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2004
Materias:
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