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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 onlydoi:10.1371/journal.pone.0004433 pmid:19209228 pmcid:PMC2635965 fatcat:efrioji5ozhr3ktltkwvfd6lwa