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Using Genome-scale Models to Predict Biological Capabilities
Open accessAbstract
Constraint-based reconstruction and analysis (COBRA) methods at the genome-scale have been under development since the first whole genome sequences appeared in the mid-1990s. A few years ago this approach began to demonstrate the ability to predict a range of cellular functions including cellular growth capabilities on various substrates and the effect of gene knockouts at the genome-scale. Thus, much interest has developed in understanding and applying these methods to areas such as metabolic engineering, antibiotic design, and organismal and enzyme evolution. This primer will get you started.
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Cites
What is flux balance analysis?
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“(2) Central carbon metabolism fluxes can be predicted; for some organisms, much of the variability in flux can be attributed to biomass flux maximization (Schuetz et al., 2012).”
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Network Context and Selection in the Evolution to Enzyme Specificity
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“It should be noted that non-uniqueness is not necessarily a handicap of COBRA, as biological evolution can come up with alternate solutions (Fong et al., 2005).”
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“The reconstruction of a ME model starts with the formation of reactions for gene expression and enzyme synthesis (Thiele et al., 2009).”
Self-citation
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Self-citation
Metadata
- Authors
- O’Brien, E. J., Monk, J. M., & Palsson, B. O.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2015-05
- Volume
- 161
- Issue
- 5
- Pages
- 971-987
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2148044817
- Cited by
- 726
- References
- 17
- FWCI
- 23.67
- Type
- journal article
- Language
- en
- Open access
- bronze
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 386 d)
- Funders
- Novo Nordisk Fonden
- National Institutes of Health (R01 GM057089)
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