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

TitleMetalDetector: a web server for predicting metal-binding sites and disulfide bridges in proteins from sequence.
Publication TypeJournal Article
Year of Publication2008
AuthorsLippi, M, Passerini, A, Punta, M, Rost, B, Frasconi, P
JournalBioinformatics
Volume24
Issue18
Pagination2094-5
Date Published2008 Sep 15
ISSN1367-4811
KeywordsAmino Acid Sequence, Binding Sites, Computational Biology, Computer Simulation, Cysteine, Databases, Protein, Disulfides, Histidine, Internet, Metalloproteins, Molecular Sequence Data, Sequence Alignment, Sequence Analysis, Protein
Abstract

UNLABELLED: 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 http://metaldetector.dsi.unifi.it.SUPPLEMENTARY INFORMATION: Details and data can be found at http://metaldetector.dsi.unifi.it/help.php.

DOI10.1093/bioinformatics/btn371
Alternate JournalBioinformatics
PubMed ID18635571
PubMed Central IDPMC2732205
Grant ListR01-GM079767 / GM / NIGMS NIH HHS / United States
R01-LM07329 / LM / NLM NIH HHS / United States
U54-GM75026 / GM / NIGMS NIH HHS / United States