DISpro 1.0 – Prediction of Disordered Regions from Protein Sequences

DISpro 1.0

:: DESCRIPTION

DISpro uses a 1D-RNN to predict the probablity that residues are disorder. The probabilities are also thresholded at probablity .5 to make a hard classification. The input to DISpro is the sequence profile, predicted secondary structure, and predicted relative solvent accesiblity.

::DEVELOPER

Institute for Genomics and Bioinformatics

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

  DISpro

:: MORE INFORMATION

Citation:

J. Cheng, M. Sweredoski, & P. Baldi.
Accurate Prediction of Protein Disordered Regions by Mining Protein Structure Data.
Data Mining and Knowledge Discovery, vol. 11, no. 3, pp. 213-222, (2005).

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