IDRBind – Protein Interface Predictor for Binding Sites of intrinsically disordered protein regions

IDRBind

:: DESCRIPTION

IDRBind is a protein interface predictor for binding sites of intrinsically disordered protein regions (IDRs), ranging from peptide motifs (i.e., short linear motifs) to molecular recognition features (MoRFs). Differentiating IDRBind from other interface predictors is its emphasis on binding sites of MoRFs, which are long interaction mediating elements within IDRs.

::DEVELOPER

Gsponer Lab

:: SCREENSHOTS

N/a

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Wong ETC, Gsponer J.
Predicting Protein-Protein Interfaces that Bind Intrinsically Disordered Protein Regions.
J Mol Biol. 2019 Aug 9;431(17):3157-3178. doi: 10.1016/j.jmb.2019.06.010. Epub 2019 Jun 15. PMID: 31207240.

e-Driver – Identify Protein Regions driving Cancer

e-Driver

:: DESCRIPTION

e-Driver is a method that exploits the internal distribution of somatic missense mutations between the protein’s functional regions (domains or intrinsically disordered regions) to find those that show a bias in their mutation rate as compared with other regions of the same protein, providing evidence of positive selection and suggesting that these proteins may be actual cancer drivers.

::DEVELOPER

Godzik Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows/ MacOsX
  • R
  • Perl
:: DOWNLOAD

 e-Driver

:: MORE INFORMATION

Citation:

Bioinformatics. 2014 Jul 26. pii: btu499.
e-Driver: a novel method to identify protein regions driving cancer.
Porta-Pardo E, Godzik A.