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.
This program can be accessed via the PredictProtein service.
Installation with aptitude (Debian, Ubuntu, etc.)
- 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
- aptitude update
- aptitude (search for rostlab keyring and install by marking the package with a '+' and hit 'g' twice to install)
- aptitude update (to determine all rostlab packages to install)
- aptitude install metadisorder. Here's a step by step guide Debian_repository#Installing_a_package_step_by_step
Please see the metadisorder man page:
Avner Schlessinger & Burkhard Rost, department of Biochemistry and Molecular Biophysics, Columbia University (2005).