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
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author Wang, Lixiao
Sauer, Uwe H.
author_facet Wang, Lixiao
Sauer, Uwe H.
author_sort Wang, Lixiao
collection PubMed
description 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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spelling pubmed-23872192009-02-25 OnD-CRF: predicting order and disorder in proteins conditional random fields Wang, Lixiao Sauer, Uwe H. Bioinformatics Applications Notes 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 Oxford University Press 2008-06-01 2008-04-21 /pmc/articles/PMC2387219/ /pubmed/18430742 http://dx.doi.org/10.1093/bioinformatics/btn132 Text en © 2008 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Wang, Lixiao
Sauer, Uwe H.
OnD-CRF: predicting order and disorder in proteins conditional random fields
title OnD-CRF: predicting order and disorder in proteins conditional random fields
title_full OnD-CRF: predicting order and disorder in proteins conditional random fields
title_fullStr OnD-CRF: predicting order and disorder in proteins conditional random fields
title_full_unstemmed OnD-CRF: predicting order and disorder in proteins conditional random fields
title_short OnD-CRF: predicting order and disorder in proteins conditional random fields
title_sort ond-crf: predicting order and disorder in proteins conditional random fields
topic Applications Notes
url 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
work_keys_str_mv AT wanglixiao ondcrfpredictingorderanddisorderinproteinsconditionalrandomfields
AT saueruweh ondcrfpredictingorderanddisorderinproteinsconditionalrandomfields

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