OnD-CRF: predicting order and disorder in proteins conditional random fields

Motivation: Order and Disorder prediction using Conditional Random Fields (OnD-CRF) is a new method for accurately predicting the transition between structured and mobile or disordered regions in proteins. OnD-CRF applies CRFs relying on features which are generated from the amino acids sequence and...

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Detalles Bibliográficos
Autores principales: Wang, Lixiao, Sauer, Uwe H.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2008
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2387219/
https://www.ncbi.nlm.nih.gov/pubmed/18430742
http://dx.doi.org/10.1093/bioinformatics/btn132
Descripción
Sumario:Motivation: Order and Disorder prediction using Conditional Random Fields (OnD-CRF) is a new method for accurately predicting the transition between structured and mobile or disordered regions in proteins. OnD-CRF applies CRFs relying on features which are generated from the amino acids sequence and from secondary structure prediction. Benchmarking results based on CASP7 targets, and evaluation with respect to several CASP criteria, rank the OnD-CRF model highest among the fully automatic server group. Availability: http://babel.ucmp.umu.se/ond-crf/ Contact: Uwe.Sauer@ucmp.umu.se

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