Improved disorder prediction by combination of orthogonal approaches.

ABSTRACT:

Unlabelled

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/

SUBMITTER: Schlessinger A 

PROVIDER: S-EPMC2635965 | biostudies-literature |

REPOSITORIES: biostudies-literature