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See the tool's GitHub repository, for the most updated information.


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.


Improved Disorder Prediction by Combination of Orthogonal Approaches

Availability/Web server

This program can be accessed via the PredictProtein service.

Installation with aptitude (Debian, Ubuntu, etc.)

Software Installation

  1. If you have not done so until now, add the rostlab repository to the list of your syanptic package manager. This is how it's done: Debian_repository#sources.list.d
  2. aptitude update
  3. aptitude (search for rostlab keyring and install by marking the package with a '+' and hit 'g' twice to install)
  4. aptitude update (to determine all rostlab packages to install)
  5. aptitude install metadisorder. Here's a step by step guide Debian_repository#Installing_a_package_step_by_step

Running Metadisorder

Please see the metadisorder man page:

 man metadisorder


Avner Schlessinger & Burkhard Rost, department of Biochemistry and Molecular Biophysics, Columbia University (2005).


Please see the FAQ section or contact the developer