MetalPredator：用于预测铁硫簇结合蛋白质组的网络服务器。
MetalPredator: a web server to predict iron-sulfur cluster binding proteomes.
作者信息
Valasatava Yana, Rosato Antonio, Banci Lucia, Andreini Claudia
机构信息
Magnetic Resonance Center (CERM).
Magnetic Resonance Center (CERM) Department of Chemistry, University of Florence, 50019 Sesto Fiorentino, Italy.
出版信息
Bioinformatics. 2016 Sep 15;32(18):2850-2. doi: 10.1093/bioinformatics/btw238. Epub 2016 Jun 6.
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
SUPPLEMENTARY INFORMATION
Supplementary data are available at Bioinformatics online.
动机
铁硫蛋白质组的预测对于生物医学和生物学研究非常有必要，但尚未开发出一种可免费使用的预测铁硫蛋白的工具。
结果
我们开发了一个网络服务器，用于从蛋白质序列预测铁硫蛋白。这个名为MetalPredator的工具能够以高召回率和高精度快速处理完整的蛋白质组。
可用性和实现方式
该网络服务器可在以下网址免费获取：http://metalweb.cerm.unifi.it/tools/metalpredator/
联系方式
补充信息
补充数据可在《生物信息学》在线获取。
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