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Table 2 List of input information sources used by the disorder predictors considered in this work.

From: In-silico prediction of disorder content using hybrid sequence representation

Prediction method Method type Inputs Data sources for the training/benchmark dataset(s) Reference
   AA sequence PSI-BLAST Secondary structure prediction Solvent accessibility prediction B-factor prediction Other   
DISOPRED2 Machine learning X X X     PDB x-ray structures [22]
IUPred Relative propensity X      Energy profile PDB x-ray structures + curated chains [17]
PROFbval Machine learning X X X X    PDB x-ray structures [29]
NORSnet Machine learning X X X X X Predicted protein-protein interfaces, predicted domains DisProt + PDB x-ray structures [33]
Ucon Relative propensity X      Predicted residue contacts DisProt + PDB x-ray structures [19]
DISOclust Predicted 3D structure X      3D models CASP7 + DisProt [41]
MD Meta approach X X X X X Predicted disorder DisProt + PDB x-ray structures [38]
PONDR-FIT Meta approach       Predicted disorder DisProt + PDB x-ray structures [40]
MFDp Meta approach X X X X X Predicted disorder DisProt + PDB x-ray structures [39]
  1. Methods are sorted in the ascending order by their year of publication.