MetalPredator: a web server to predict iron-sulfur cluster binding proteomes

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.

http://bioinformatics.oxfordjournals.org/cgi/content/short/32/18/2850?rss=1

Source: Bioinformatics - September 10, 2016 Category: Bioinformatics Authors: Valasatava, Y., Rosato, A., Banci, L., Andreini, C. Tags: SEQUENCE ANALYSIS Source Type: research

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