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(Running PROFbval)

Latest revision as of 20:39, 21 January 2016

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


[edit] Intro

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.

[edit] Reference

Improved Disorder Prediction by Combination of Orthogonal Approaches

[edit] Availability/Web server

This program can be accessed via the PredictProtein service.

[edit] Installation with aptitude (Debian, Ubuntu, etc.)

[edit] 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

[edit] Running Metadisorder

Please see the metadisorder man page:

 man metadisorder

[edit] Developers

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

[edit] Questions

Please see the FAQ section or contact the developer

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