OnD-CRF: predicting order and disorder in proteins using [corrected] conditional random fields

Lixiao Wang; Uwe H Sauer

doi:10.1093/bioinformatics/btn132

OnD-CRF: predicting order and disorder in proteins using [corrected] conditional random fields

Bioinformatics. 2008 Jun 1;24(11):1401-2. doi: 10.1093/bioinformatics/btn132. Epub 2008 Apr 21.

Authors

Lixiao Wang¹, Uwe H Sauer

Affiliation

¹ Umeå Centre for Molecular Pathogenesis, UCMP, and Centre for Chemical Biology, KBC, Umeå University, SE-901 87 Umeå, Sweden.

Abstract

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/

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms*
Amino Acid Sequence
Computer Simulation
Models, Chemical*
Models, Statistical
Molecular Sequence Data
Proteins / chemistry*
Sequence Analysis, Protein / methods*

Substances

Proteins