Improved Disorder Prediction by Combination of Orthogonal Approaches

Avner Schlessinger, Marco Punta, Guy Yachdav, Laszlo Kajan and Burkhard Rost

PLOS ONE, 2009, vol. 4, issue 2, 1-10

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/

Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0004433

DOI: 10.1371/journal.pone.0004433

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