MetalDetector: a web server for predicting metal-binding sites and disulfide bridges in proteins from sequence

Bioinformatics. 2008 Sep 15;24(18):2094-5. doi: 10.1093/bioinformatics/btn371. Epub 2008 Jul 16.


The web server MetalDetector classifies histidine residues in proteins into one of two states (free or metal bound) and cysteines into one of three states (free, metal bound or disulfide bridged). A decision tree integrates predictions from two previously developed methods (DISULFIND and Metal Ligand Predictor). Cross-validated performance assessment indicates that our server predicts disulfide bonding state at 88.6% precision and 85.1% recall, while it identifies cysteines and histidines in transition metal-binding sites at 79.9% precision and 76.8% recall, and at 60.8% precision and 40.7% recall, respectively.

Availability: Freely available at

Supplementary information: Details and data can be found at

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Amino Acid Sequence
  • Binding Sites
  • Computational Biology / methods*
  • Computer Simulation
  • Cysteine / chemistry*
  • Databases, Protein
  • Disulfides / chemistry*
  • Disulfides / metabolism
  • Histidine / chemistry*
  • Internet
  • Metalloproteins / chemistry*
  • Metalloproteins / metabolism
  • Molecular Sequence Data
  • Sequence Alignment
  • Sequence Analysis, Protein*


  • Disulfides
  • Metalloproteins
  • Histidine
  • Cysteine