SMURFLite: combining simplified Markov random fields with simulated evolution improves remote homology detection for beta-structural proteins into the twilight zone

Motivation: One of the most successful methods to date for recognizing protein sequences that are evolutionarily related has been profile hidden Markov models (HMMs). However, these models do not capture pairwise statistical preferences of residues that are hydrogen bonded in beta sheets. These depe...

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Detalles Bibliográficos
Autores principales: Daniels, Noah M., Hosur, Raghavendra, Berger, Bonnie, Cowen, Lenore J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338012/
https://www.ncbi.nlm.nih.gov/pubmed/22408192
http://dx.doi.org/10.1093/bioinformatics/bts110

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338012/
https://www.ncbi.nlm.nih.gov/pubmed/22408192
http://dx.doi.org/10.1093/bioinformatics/bts110

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