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Synthetic protein scaffolds provide modular control over metabolic flux
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Citations
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Nishida, K., Arazoe, T., Yachie, N., Banno, S., Kakimoto, M., Tabata, M., Mochizuki, M., Miyabe, A., Araki, M., Hara, K. Y., et al. (2016) · Science · doi:10.1126/science.aaf8729 · Cited by 1,349
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Moses, T., Pollier, J., Thevelein, J. M., & Goossens, A. (2013) · New Phytologist · doi:10.1111/nph.12325 · Cited by 245
Isoprenoid drugs, biofuels, and Chemicals–Artemisinin, farnesene, and beyond
George, K. W., Alonso-Gutierrez, J., Keasling, J. D., & Lee, T. S. (2015) · Advances in biochemical engineering, biotechnology · doi:10.1007/10_2014_288 · Cited by 185
Self-citationAdvances and prospects in metabolic engineering of Zymomonas mobilis
Wang, X., He, Q., Yang, Y., Wang, J., Haning, K., Hu, Y., Wu, B., He, M., Zhang, Y., Bao, J., et al. (2018) · Metabolic Engineering · doi:10.1016/j.ymben.2018.04.001 · Cited by 154
D'Adamo, S., Schiano di Visconte, G., Lowe, G., Szaub‐Newton, J., Beacham, T., Landels, A., Allen, M. J., Spicer, A., & Matthijs, M. (2019) · Plant Biotechnology Journal · doi:10.1111/pbi.12948 · Cited by 129
Yang, S., Sheffer, M., Kaplan, I. E., Wang, Z., Tarannum, M., Dinh, K., Abdulhamid, Y., Bobilev, E., Shapiro, R., Porter, R., et al. (2025) · Nature Biotechnology · doi:10.1038/s41587-024-02418-6 · Cited by 66
Synthetic Biology: A New Era in Hydrocarbon Bioremediation
Jiménez-Díaz, V., Pedroza-Rodríguez, A. M., Ramos-Monroy, O., & Castillo-Carvajal, L. C. (2022) · Processes · doi:10.3390/pr10040712 · Cited by 31
Self-Assembly of Nanofilaments in Cyanobacteria for Protein Co-localization
Zedler, J. A. Z., Schirmacher, A. M., Russo, D. A., Hodgson, L., Gundersen, E., Matthes, A., Frank, S., Verkade, P., & Jensen, P. E. (2023) · ACS Nano · doi:10.1021/acsnano.3c08600 · Cited by 17
Application of artificial scaffold systems in microbial metabolic engineering
Liu, N., Dong, W., Yang, H., Li, J.-H., & Chiu, T.-Y. (2023) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2023.1328141 · Cited by 16
Engineering cyanobacteria for the production of aromatic natural products
Gu, F., Li, C., Zheng, H., & Ni, J. (2024) · Blue Biotechnology · doi:10.1186/s44315-024-00002-w · Cited by 9
CRISPRi-assisted metabolic engineering of cyanobacteria for photosynthetic hyaluronic acid from CO2
Son, J., Lee, H. J., & Woo, H. M. (2025) · Journal of Biological Engineering · doi:10.1186/s13036-025-00494-z · Cited by 5
Metadata
- Authors
- Dueber, J. E., Wu, G. C., Malmirchegini, G. R., Moon, T. S., Petzold, C. J., Ullal, A. V., Prather, K. L. J., & Keasling, J. D.
- Venue
- Nature Biotechnology
- Published
- 2009-08
- Volume
- 27
- Issue
- 8
- Pages
- 753-759
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W2147516046
- Cited by
- 1,242
- References
- 0
- FWCI
- 24.25
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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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.
