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Bioinformatics. 2016 Sep 15;32(18):2850-2. doi: 10.1093/bioinformatics/btw238. Epub 2016 Jun 6.

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

Author information

1
Magnetic Resonance Center (CERM).
2
Magnetic Resonance Center (CERM) Department of Chemistry, University of Florence, 50019 Sesto Fiorentino, Italy.

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.

PMID:
27273670
DOI:
10.1093/bioinformatics/btw238
[Indexed for MEDLINE]

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