Published April 2011
| Accepted Version
Journal Article
Open
Optimizing non-natural protein function with directed evolution
- Creators
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Brustad, Eric M.
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Arnold, Frances H.
Chicago
Abstract
Developing technologies such as unnatural amino acid mutagenesis, non-natural cofactor engineering, and computational design are generating proteins with novel functions; these proteins, however, often do not reach performance targets and would benefit from further optimization. Evolutionary methods can complement these approaches: recent work combining unnatural amino acid mutagenesis and phage selection has created useful proteins of novel composition. Weak initial activity in a computationally designed enzyme has been improved by iterative rounds of mutagenesis and screening. A marriage of ingenuity and evolution will expand the scope of protein function well beyond Mother Nature's designs.
Additional Information
© 2011 Elsevier. Available online 23 December 2010. The authors thank Mary Farrow, Christopher Snow, Philip Romero, and Crystal Dilworth for thoughtful discussions during the preparation of this manuscript. EB is supported by a Ruth M Kirschstein NIH postdoctoral fellowship Award Number F32GM087102 from the National Institute of General Medical Sciences. We also acknowledge support from the Jacobs Institute for Molecular Engineering for Medicine and NIH 1-R01-DA028299-01.Attached Files
Accepted Version - nihms-261081.pdf
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Additional details
- PMCID
- PMC3080047
- Eprint ID
- 23710
- Resolver ID
- CaltechAUTHORS:20110518-102635009
- NIH Postdoctoral Fellowship
- F32GM087102
- Jacobs Institute for Molecular Engineering and Medicine
- NIH
- 1-R01-DA028299-01
- National Institute of General Medical Sciences
- Created
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2011-05-18Created from EPrint's datestamp field
- Updated
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2021-11-09Created from EPrint's last_modified field