The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Genome-scale metabolic network modeling results in minimal interventions that cooperatively force carbon flux towards malonyl-CoA
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Citations
Cites
The effects of alternate optimal solutions in constraint-based genome-scale metabolic models
Mahadevan, R., & Schilling, C. H. (2003) · Metabolic Engineering · doi:10.1016/j.ymben.2003.09.002 · Cited by 1,203
The growing scope of applications of genome-scale metabolic reconstructions using Escherichia coli
Feist, A. M., & Palsson, B. Ø. (2008) · Nature Biotechnology · doi:10.1038/nbt1401 · Cited by 545 · cited 2×
“succinate or aketo glutarate) partially restored cell biomass and naringenin production in the mdh or acnA/B mutant strains (supplemental Figures S1 and S2), which correlated well with the flux balance model that culture conditions can be a crucial factor in determining cellular metabolic state (Feist and Palsson, 200…”
Microdiesel: Escherichia coli engineered for fuel production
Kalscheuer, R., Stölting, T., & Steinbüchel, A. (2006) · Microbiology · doi:10.1099/mic.0.29028-0 · Cited by 490
Production of very long chain polyunsaturated omega-3 and omega-6 fatty acids in plants
Qi, B., Fraser, T., Mugford, S., Dobson, G., Sayanova, O., Butler, J., Napier, J. A., Stobart, A. K., & Lazarus, C. M. (2004) · Nature Biotechnology · doi:10.1038/nbt972 · Cited by 426
Tummala, S. B., Welker, N. E., & Papoutsakis, E. T. (2003) · Journal of Bacteriology · doi:10.1128/jb.185.6.1923-1934.2003 · Cited by 174
Cited by
Constraining the metabolic genotype–phenotype relationship using a phylogeny of in silico methods
Lewis, N. E., Nagarajan, H., & Palsson, B. O. (2012) · Nature Reviews Microbiology · doi:10.1038/nrmicro2737 · Cited by 779
Reconstructing organisms in silico: genome-scale models and their emerging applications
Fang, X., Lloyd, C. J., & Palsson, B. O. (2020) · Nature Reviews Microbiology · doi:10.1038/s41579-020-00440-4 · Cited by 292
ePathBrick: A Synthetic Biology Platform for Engineering Metabolic Pathways in E. coli
Xu, P., Vansiri, A., Bhan, N., & Koffas, M. A. G. (2012) · ACS Synthetic Biology · doi:10.1021/sb300016b · Cited by 255
Self-citationKhodayari, A., & Maranas, C. D. (2016) · Nature Communications · doi:10.1038/ncomms13806 · Cited by 230
Self-citationNext-generation genome-scale models for metabolic engineering
King, Z. A., Lloyd, C. J., Feist, A. M., & Palsson, B. O. (2015) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2014.12.016 · Cited by 157
Metadata
- Authors
- Xu, P., Ranganathan, S., Fowler, Z. L., Maranas, C. D., & Koffas, M. A. G.
- Venue
- Metabolic Engineering
- Publisher
- Elsevier BV
- Published
- 2011-09
- Volume
- 13
- Issue
- 5
- Pages
- 578-587
- ISSN
- 1096-7176 (ISSN-L)
- OpenAlex
- W2101809525
- Cited by
- 346
- References
- 5
- FWCI
- 8.82
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Xu, P., Ranganathan, S., Fowler, Z. L., Maranas, C. D., & Koffas, M. A. G. (2011). Genome-scale metabolic network modeling results in minimal interventions that cooperatively force carbon flux towards malonyl-CoA. Metabolic Engineering. https://doi.org/10.1016/j.ymben.2011.06.008
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
