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

被引：57

作者：

Valasatava, Yana ^{[1
]}

Rosato, Antonio ^{[1
,2
]}

Banci, Lucia ^{[1
,2
]}

Andreini, Claudia ^{[1
,2
]}

机构：

[1] Univ Florence, Magnet Resonance Ctr CERM, I-50019 Sesto Fiorentino, Italy

[2] Univ Florence, Dept Chem, I-50019 Sesto Fiorentino, Italy

来源：

BIOINFORMATICS | 2016年 / 32卷 / 18期

关键词：

PROTEINS; METALLOPROTEINS;

D O I：

10.1093/bioinformatics/btw238

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：2850 / 2852

页数：3

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