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Prediction of Intrinsically Unstructured Proteins

  • Introducing IUPred2, implementing minor bug fixes
  • Introducing the new ANCHOR2 based on an improved architecture
  • Introducing an additional context dependence disorder prediction depending on redox states
  • Improved web interface (based on PYTHON Django) with more interactive visualization
  • Improved integration with the UniProt database with Restful access added
  • Providing new json output in addition to the graphical and text output
  • Improved multi-download submission page; additional download option in PYTHON

References:

IUPred2A: context-dependent prediction of protein disorder as a function of redox state and protein binding
Bálint Mészáros, Gábor Erdős, Zsuzsanna Dosztányi
Nucleic Acids Research (2018), in press

Prediction of protein disorder based on IUPred
Zsuzsanna Dosztányi
Tools for 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 folded and intrinsically unstructured proteins.
J Mol Biol. 2005;347:827-39.

Dosztányi Z, Csizmók V, Tompa P, Simon I.
IUPred: web server for the prediction of intrinsically unstructured regions of proteins based on estimated energy content.
Bioinformatics. 2005;21:3433-4.

Mészáros B, Simon I, Dosztányi Z.
Prediction of protein binding regions in disordered proteins.
PLoS Comput Biol. 2009;5:e1000376.

Dosztányi Z, Mészáros B, Simon I.
ANCHOR: web server for predicting protein binding regions in disordered proteins.
Bioinformatics. 2009;25:2745-6.
 
Zsuzsanna Dosztanyi | Balint Meszaros | Gabor Erdos | MTA-ELTE Momentum Bioinformatics Research Group