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Directed Evolution: Bringing New Chemistry to Life
Open accessAbstract
Tailor-made: Discussed herein is the ability to adapt biology's mechanisms for innovation and optimization to solving problems in chemistry and engineering. The evolution of nature's enzymes can lead to the discovery of new reactivity, transformations not known in biology, and reactivity inaccessible by small-molecule catalysts.
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Citations
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Vanni, C., Schechter, M. S., Acinas, S. G., Barberán, A., Buttigieg, P. L., Casamayor, E. O., Delmont, T. O., Duarte, C. M., Eren, A. M., Finn, R. D., et al. (2022) · eLife · doi:10.7554/elife.67667 · Cited by 134
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Computational scoring and experimental evaluation of enzymes generated by neural networks
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Li, L., Gupta, E., Spaeth, J., Shing, L., Jaimes, R., Engelhart, E., Lopez, R., Caceres, R. S., Bepler, T., & Walsh, M. E. (2023) · Nature Communications · doi:10.1038/s41467-023-39022-2 · Cited by 96
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Bartlett, S., & Wong, M. L. (2020) · Life · doi:10.3390/life10040042 · Cited by 77
Recent Advances in β-Glucosidase Sequence and Structure Engineering: A Brief Review
Ouyang, B., Wang, G., Zhang, N., Zuo, J., Huang, Y., & Zhao, X. (2023) · Molecules · doi:10.3390/molecules28134990 · Cited by 56
Protein representations: Encoding biological information for machine learning in biocatalysis
Harding-Larsen, D., Funk, J., Madsen, N. G., Gharabli, H., Acevedo-Rocha, C. G., Mazurenko, S., & Welner, D. H. (2024) · Biotechnology Advances · doi:10.1016/j.biotechadv.2024.108459 · Cited by 38
Mutexa: A Computational Ecosystem for Intelligent Protein Engineering
Yang, Z. J., Shao, Q., Jiang, Y., Jurich, C., Ran, X., Juarez, R. J., Yan, B., Stull, S. L., Gollu, A., & Ding, N. (2023) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.3c00602 · Cited by 28
Selecting Better Biocatalysts by Complementing Recoded Bacteria**
Rubini, R., Jansen, S. C., Beekhuis, H., Rozeboom, H. J., & Mayer, C. (2023) · Angewandte Chemie International Edition · doi:10.1002/anie.202213942 · Cited by 15
Deng, Y., Etheridge, K., Ran, X., Maurais, H. E., & Sarpeshkar, R. (2025) · Applied and Environmental Microbiology · doi:10.1128/aem.02491-24 · Cited by 7
Exploring Evolution to Uncover Insights Into Protein Mutational Stability
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Metadata
- Authors
- Arnold, F. H.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2017-11-28
- Volume
- 57
- Issue
- 16
- Pages
- 4143-4148
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2767044445
- Cited by
- 1,144
- References
- 0
- FWCI
- 31.06
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.
