Journal
CURRENT OPINION IN BIOTECHNOLOGY
Volume 35, Issue -, Pages 23-29Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.copbio.2014.12.016
Keywords
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Funding
- National Science Foundation Graduate Research Fellowship [DGE-1144086]
- Novo Nordisk Foundation
- NNF Center for Biosustainability [Network Reconstruction] Funding Source: researchfish
- Novo Nordisk Fonden [NNF14OC0011269, NNF10CC1016517] Funding Source: researchfish
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Constraint-based reconstruction and analysis (COBRA) methods have become widely used tools for metabolic engineering in both academic and industrial laboratories. By employing a genome-scale in silico representation of the metabolic network of a host organism, COBRA methods can be used to predict optimal genetic modifications that improve the rate and yield of chemical production. A new generation of COBRA models and methods is now being developed -encompassing many biological processes and simulation strategies - and next-generation models enable new types of predictions. Here, three key examples of applying COBRA methods to strain optimization are presented and discussed. Then, an outlook is provided on the next generation of COBRA models and the new types of predictions they will enable for systems metabolic engineering.
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