New features
  • Introducing IUPred3
  • Introducing Disorder conservation analysis
  • 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
Primary citations

Gábor Erdős, Mátyás Pajkos, Zsuzsanna Dosztányi
IUPred3: prediction of protein disorder enhanced with unambiguous experimental annotation and visualization of evolutionary conservation
Nucleic Acids Research 2021;49(W1):W297-W303.

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.

Gábor Erdős, Zsuzsanna Dosztányi
Analyzing Protein Disorder with IUPred2A
Current Protocols in Bioinformatics 2020;70(1):e99

Additional citations

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 folded 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.