Prediction of Intrinsically Unstructured Proteins

 

IUPred
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Servers for the prediction of protein disorder, unstructured regions

IUPred Abstract
DisProt VSL2 Abstract
PONDR-FIT Abstract
PONDR Abstract
DISOPRED2 Abstract
DISOclust Abstract
OnD-CRF Abstract
PreDisorder Abstract
GlobPlot Abstract
DisEMBL Abstract
DRIP-PRED Abstract
SoftBerry - pdisorder
FoldIndex-Uversky Abstract
RONN Disorder Prediction Abstract
CSPRITZ Abstract
POODLE
POODLE-L, POODLE-S, POODLE-W, POODLE-I
Abstract
PredictProtein
NORSp, UCON, MD
Abstract
metaPrDOS Abstract
DisProt VL2 Abstract
DisProt VL3, VL3H, VL3E Abstract
DISpro Abstract
PrDOS Abstract
FoldUnfold Abstract
PreLink Abstract


Datasets

DisProt - Database of Protein Disorder
IUP list


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:

The Pairwise Energy Content Estimated from Amino Acid Composition Discriminates between Folded and Intrinsically Unstructured Proteins
Zsuzsanna Dosztányi, Veronika Csizmók, Péter Tompa and István Simon
J. Mol. Biol. (2005) 347, 827-839.

IUPred: web server for the prediction of intrinsically unstructured regions of proteins based on estimated energy content
Zsuzsanna Dosztányi, Veronika Csizmók, Péter Tompa and István Simon
Bioinformatics (2005) 21, 3433-3434.


 
 
Zsuzsanna Dosztanyi | Peter Tompa | Istvan Simon | Institute of Enzymology