| Literature DB >> 19597503 |
Ani Manichaikul1, Lila Ghamsari, Erik F Y Hom, Chenwei Lin, Ryan R Murray, Roger L Chang, S Balaji, Tong Hao, Yun Shen, Arvind K Chavali, Ines Thiele, Xinping Yang, Changyu Fan, Elizabeth Mello, David E Hill, Marc Vidal, Kourosh Salehi-Ashtiani, Jason A Papin.
Abstract
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.Entities:
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Year: 2009 PMID: 19597503 PMCID: PMC3139173 DOI: 10.1038/nmeth.1348
Source DB: PubMed Journal: Nat Methods ISSN: 1548-7091 Impact factor: 28.547