Metabolic network analysis integrated with transcript verification for sequenced genomes

被引：0

作者：

Manichaikul A. ^{[1
]}

Ghamsari L. ^{[2
]}

Hom E.F.Y. ^{[3
]}

Lin C. ^{[2
]}

Murray R.R. ^{[2
]}

Chang R.L. ^{[4
]}

Balaji S. ^{[2
]}

Hao T. ^{[2
]}

Shen Y. ^{[2
]}

Chavali A.K. ^{[1
]}

Thiele I. ^{[4
,5
]}

Yang X. ^{[2
]}

Fan C. ^{[2
]}

Mello E. ^{[2
]}

Hill D.E. ^{[2
]}

Vidal M. ^{[2
]}

Salehi-Ashtiani K. ^{[2
]}

Papin J.A. ^{[1
]}

机构：

[1] Department of Biomedical Engineering, University of Virginia, Charlottesville, VA

[2] Department of Cancer Biology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA

[3] Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA

[4] Department of Bioengineering, University of California, San Diego, La Jolla, CA

[5] Center for Systems Biology, University of Iceland, Reykjavik

来源：

Nature Methods | 2009年 / 6卷 / 8期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1038/nmeth.1348

中图分类号：

学科分类号：

摘要：

With sequencing of thousands of organisms completed or in progress, there is a growing need to integrate gene prediction with metabolic network analysis. Using Chlamydomonas reinhardtii as a model, we describe a systems-level methodology bridging metabolic network reconstruction with experimental verification of enzyme encoding open reading frames. Our quantitative and predictive metabolic model and its associated cloned open reading frames provide useful resources for metabolic engineering.

引用

页码：589 / 592

页数：3

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