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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


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