MOTIVATION: The prediction of the iron-sulfur proteome is highly desirable for biomedical and biological research but a freely available tool to predict iron-sulfur proteins has not been developed yet. RESULTS: We developed a web server to predict iron-sulfur proteins from protein sequence(s). This tool, called MetalPredator, is able to process complete proteomes rapidly with high recall and precision. AVAILABILITY AND IMPLEMENTATION: The web server is freely available at: http://metalweb.cerm.unifi.it/tools/metalpredator/ CONTACT: andreini@cerm.unifi.it SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
MOTIVATION: The prediction of the iron-sulfur proteome is highly desirable for biomedical and biological research but a freely available tool to predict iron-sulfur proteins has not been developed yet. RESULTS: We developed a web server to predict iron-sulfur proteins from protein sequence(s). This tool, called MetalPredator, is able to process complete proteomes rapidly with high recall and precision. AVAILABILITY AND IMPLEMENTATION: The web server is freely available at: http://metalweb.cerm.unifi.it/tools/metalpredator/ CONTACT: andreini@cerm.unifi.it SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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