Improved disorder prediction by combination of orthogonal approaches

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

Research output: Contribution to journalArticlepeer-review

162 Scopus citations


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.

Original languageEnglish
Article numbere4433
JournalPLoS ONE
Issue number2
StatePublished - 11 Feb 2009
Externally publishedYes


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