FoldUnfold: web server for the prediction of disordered regions in protein chain

Bioinformatics. 2006 Dec 1;22(23):2948-9. doi: 10.1093/bioinformatics/btl504. Epub 2006 Oct 4.


Identification of disordered regions in polypeptide chains is very important because such regions are essential for protein function. A new parameter, namely mean packing density of residues has been introduced to detect disordered regions in a protein sequence. We have demonstrated that regions with weak expected packing density would be responsible for the appearance of disordered regions. Our method (FoldUnfold) has been tested on datasets of globular proteins (559 proteins) and long disordered protein segments (129 proteins) and showed improved performance over some other widely used methods, such as DISOPRED, PONDR VL3H, IUPred and GlobPlot.

Availability: The FoldUnfold server is available for users at There is a link to our server through the web site of DisProt (

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Amino Acid Sequence
  • Computer Simulation
  • Internet*
  • Models, Chemical
  • Molecular Sequence Data
  • Peptides / chemistry*
  • Protein Denaturation
  • Protein Folding
  • Protein Structure, Tertiary
  • Proteins / chemistry*
  • Sequence Alignment / methods*
  • Sequence Analysis, Protein / methods*
  • Software*


  • Peptides
  • Proteins