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PLoS One. 2009;4(2):e4433. doi: 10.1371/journal.pone.0004433. Epub 2009 Feb 11.

Improved disorder prediction by combination of orthogonal approaches.

Author information

1
CUBIC, Department of Biochemistry and Molecular Biophysics, Columbia University, New York, New York, United States of America. as2067@columbia.edu

Abstract

Disordered proteins are highly abundant in regulatory processes such as transcription and cell-signaling. Different methods have been developed to predict protein disorder often focusing on different types of disordered regions. Here, we present MD, a novel META-Disorder prediction method that molds various sources of information predominantly obtained from orthogonal prediction methods, to significantly improve in performance over its constituents. In sustained cross-validation, MD not only outperforms its origins, but it also compares favorably to other state-of-the-art prediction methods in a variety of tests that we applied.

AVAILABILITY:

http://www.rostlab.org/services/md/

PMID:
19209228
PMCID:
PMC2635965
DOI:
10.1371/journal.pone.0004433
[Indexed for MEDLINE]
Free PMC Article
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