代谢网络
计算生物学
焊剂(冶金)
代谢途径
代谢活性
计算机科学
代谢通量分析
通量平衡分析
生物
酶
生物信息学
新陈代谢
化学
生物系统
生物化学
有机化学
作者
Hadas Zur,Eytan Ruppin,Tomer Shlomi
出处
期刊:Bioinformatics
[Oxford University Press]
日期:2010-11-15
卷期号:26 (24): 3140-3142
被引量:325
标识
DOI:10.1093/bioinformatics/btq602
摘要
Abstract Summary: iMAT is an Integrative Metabolic Analysis Tool, enabling the integration of transcriptomic and proteomic data with genome-scale metabolic network models to predict enzymes' metabolic flux, based on the method previously described by Shlomi et al. The prediction of metabolic fluxes based on high-throughput molecular data sources could help to advance our understanding of cellular metabolism, since current experimental approaches are limited to measuring fluxes through merely a few dozen enzymes. Availability and Implementation: http://imat.cs.tau.ac.il/ Contact: zurhadas@post.tau.ac.il; ruppin@post.tau.ac.il; tomersh@cs.technion.ac.il Supplementary information: Supplementary data are available at Bioinformatics online.
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