MetalPredator: a web server to predict iron–sulfur cluster binding proteomes
2016
Valasatava, Yana | Rosato, Antonio | Banci, L. | Andreini, Claudia
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: [email protected] Supplementary information: Supplementary data are available at Bioinformatics online.
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