MetalPredator
Computational Tool
FAIR Metrics
1 evaluation
General Information
DescriptionA web server to predict iron–sulfur cluster binding proteomes
Homepagehttp://metalweb.cerm.unifi.it/tools/metalpredator/
Publications
MetalPredator: a web server to predict iron–sulfur cluster binding proteomes
Yana Valasatava; Antonio Rosato; Lucia Banci; Claudia Andreini
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 informationSupplementary data are available at Bioinformatics online.
Metrics:
1
Canned Analyses generated by the tool
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Datasets analyzed by the tool
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FAIR Evaluation
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