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, 32 (18), 2850-2

MetalPredator: A Web Server to Predict Iron-Sulfur Cluster Binding Proteomes

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MetalPredator: A Web Server to Predict Iron-Sulfur Cluster Binding Proteomes

Yana Valasatava et al. Bioinformatics.

Abstract

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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