Journal
BIOINFORMATICS
Volume 32, Issue 18, Pages 2850-2852Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btw238
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Funding
- CIRMMP
- European Commission [284209, 654142]
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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.
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