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Metabolic engineering of Escherichia coli for direct production of 1,4-butanediol
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Cites
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Biddy, M. J., Davis, R., Humbird, D., Tao, L., Dowe, N., Guarnieri, M. T., Linger, J. G., Karp, E. M., Salvachúa, D., Vardon, D. R., et al. (2016) · ACS Sustainable Chemistry & Engineering · doi:10.1021/acssuschemeng.6b00243 · Cited by 159
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“Prediction of phenotypes has allowed GSMs to be applied for several purposes such as, guiding metabolic engineering efforts to achieve an increased production of target metabolites [3], identification of drug targets [4] and more recently, prediction of interactions in microbial communities [5].”
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Mazareli, R. C. D. S., Sakamoto, I. K., Silva, E. L., & Varesche, M. B. A. (2019) · Journal of Environmental Management · doi:10.1016/j.jenvman.2019.06.040 · Cited by 46
Metadata
- Authors
- Yim, H., Haselbeck, R., Niu, W., Pujol-Baxley, C., Burgard, A., Boldt, J., Khandurina, J., Trawick, J. D., Osterhout, R. E., Stephen, R., Estadilla, J., Teisan, S., Schreyer, H. B., Andrae, S., Yang, T. H., Lee, S. Y., Burk, M. J., & Van Dien, S.
- Venue
- Nature Chemical Biology
- Published
- 2011-05-22
- Volume
- 7
- Issue
- 7
- Pages
- 445-452
- ISSN
- 1552-4450 (ISSN-L)
- 1552-4469
- OpenAlex
- W2165612309
- Cited by
- 1,114
- References
- 2
- FWCI
- 25.16
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
