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

Marco Lippi | Zendy; Andrea Passerini | Zendy; Marco Punta | Zendy; Burkhard Rost | Zendy; Paolo Frasconi | Zendy

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

Author(s) -

Marco Lippi,

Andrea Passerini,

Marco Punta,

Burkhard Rost,

Paolo Frasconi

Publication year - 2008

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btn371

Subject(s) - disulfide bond , web server , histidine , sequence (biology) , computer science , metal , precision and recall , web site , chemistry , information retrieval , biochemistry , world wide web , the internet , amino acid , organic chemistry

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.

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