Improved Disorder Prediction by Combination of Orthogonal Approaches

Avner Schlessinger, Marco Punta, Guy Yachdav, Laszlo Kajan, Burkhard Rost, Joseph P. R. O. Orgel
2009 PLoS ONE  
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
more » ... performs 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/ Citation: Schlessinger A, Punta M, Yachdav G, Kajan L, Rost B (2009) Improved Disorder Prediction by Combination of Orthogonal Approaches. PLoS ONE 4(2): e4433.
doi:10.1371/journal.pone.0004433 pmid:19209228 pmcid:PMC2635965 fatcat:efrioji5ozhr3ktltkwvfd6lwa