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.

MetalPredator: A web server to predict iron-sulfur cluster binding proteomes / Valasatava, Yana; Rosato, Antonio; Banci, Lucia; Andreini, Claudia. - In: BIOINFORMATICS. - ISSN 1367-4803. - STAMPA. - 32:(2016), pp. 2850-2852. [10.1093/bioinformatics/btw238]

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

VALASATAVA, YANA;ROSATO, ANTONIO;BANCI, LUCIA;ANDREINI, CLAUDIA
2016

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.
2016
32
2850
2852
Valasatava, Yana; Rosato, Antonio; Banci, Lucia; Andreini, Claudia
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1073571
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