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Prediction of Intrinsically Unstructured Proteins

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Servers for the prediction of protein disorder, unstructured regions
IUPred Abstract
MFDp2 Abstract
Espritz Abstract
DISOPRED3 Abstract
DisProt VSL2 Abstract
PONDR-FIT Abstract
PONDR Abstract
DISOclust Abstract
OnD-CRF Abstract
GlobPlot Abstract
DisEMBL Abstract
SoftBerry - pdisorder
FoldIndex-Uversky Abstract
RONN Disorder Prediction Abstract
CSPRITZ Abstract
PredictProtein
NORSp, UCON, MD 		Abstract
DisProt VL2 Abstract
DisProt VL3, VL3H, VL3E Abstract


Servers for the prediction of binding regions
MoRFpred Abstract
MoRFchibi Abstract
DISOPRED3 Abstract


All datasets used for training and testing


Reviews
Dosztányi Z, Mészáros B, Simon I.
Bioinformatical approaches to characterize intrinsically disordered/unstructured proteins.
Brief Bioinform. 2010; 11:225-243.
PubMed PMID: 20007729
He B, Wang K, Liu Y, Xue B, Uversky VN, Dunker AK.
Predicting intrinsic disorder in proteins: an overview.
Cell Res. 2009;19:929-949.
PubMed PMID: 19597536
Ferron F, Longhi S, Canard B, Karlin D.
A practical overview of protein disorder prediction methods.
Proteins. 2006 ;65:1-14
PubMed PMID: 16856179

References:

Bálint Mészáros, Gábor Erdős, Zsuzsanna Dosztányi
IUPred2A: context-dependent prediction of protein disorder as a function of redox state and protein binding
Nucleic Acids Research 2018;46(W1):W329-W337.

Zsuzsanna Dosztányi
Prediction of protein disorder based on IUPred
Protein Science 2017;27:331-340.

Dosztányi Z, Csizmók V, Tompa P, Simon I.
The pairwise energy content estimated from amino acid composition discriminates between fol$ and intrinsically unstructured proteins.
J Mol Biol. 2005;347:827-39.

Mészáros B, Simon I, Dosztányi Z.
Prediction of protein binding regions in disordered proteins.
PLoS Comput Biol. 2009;5:e1000376.
 
Zsuzsanna Dosztanyi | Balint Meszaros | Gabor Erdos | MTA-ELTE Momentum Bioinformatics Research Group