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Computational Design of a Biologically Active Enzyme
Abstract
Rational design of enzymes is a stringent test of our understanding of protein chemistry and has numerous potential applications. Here, we present and experimentally validate the computational design of enzyme activity in proteins of known structure. We have predicted mutations that introduce triose phosphate isomerase activity into ribose-binding protein, a receptor that normally lacks enzyme activity. The resulting designs contain 18 to 22 mutations, exhibit 10 5 - to 10 6 -fold rate enhancements over the uncatalyzed reaction, and are biologically active, in that they support the growth of Escherichia coli under gluconeogenic conditions. The inherent generality of the design method suggests that many enzymes can be designed by this approach.
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Cited by
Synthetic biology: new engineering rules for an emerging discipline
Andrianantoandro, E., Basu, S., Karig, D. K., & Weiss, R. (2006) · Molecular Systems Biology · doi:10.1038/msb4100073 · Cited by 1,081
Benner, S. A., & Sismour, A. M. (2005) · Nature Reviews Genetics · doi:10.1038/nrg1637 · Cited by 834
The Design of Coiled-Coil Structures and Assemblies
Woolfson, D. N. (2005) · Advances in Protein Chemistry · doi:10.1016/s0065-3233(05)70004-8 · Cited by 585
Computational design of antibody-affinity improvement beyond in vivo maturation
Lippow, S. M., Wittrup, K. D., & Tidor, B. (2007) · Nature Biotechnology · doi:10.1038/nbt1336 · Cited by 342
Progress in Modeling of Protein Structures and Interactions.
Schueler-Furman, O., Wang, C., Bradley, P., Misura, K., & Baker, D. (2005) · Science · doi:10.1126/science.1112160 · Cited by 294
Metadata
- Authors
- Dwyer, M. A., Looger, L. L., & Hellinga, H. W.
- Venue
- Science
- Published
- 2004-06-25
- Volume
- 304
- Issue
- 5679
- Pages
- 1967-1971
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2138817605
- Cited by
- 294
- References
- 0
- FWCI
- 19.13
- Type
- journal article
- Language
- en
- Status
- Retracted
- Open access
- closed
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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.