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

被引：55
|
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
收藏
页码：2850 / 2852
页数：3
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