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Combinatorial and computational challenges for biocatalyst design

Arnold, Frances H. (2001) Combinatorial and computational challenges for biocatalyst design. Nature, 409 (6817). pp. 253-257. ISSN 0028-0836. doi:10.1038/35051731.

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Nature provides a fantastic array of catalysts extremely well suited to supporting life, but usually not so well suited for technology. Whether biocatalysis will have a significant technological impact depends on our finding robust routes for tailoring nature's catalysts or redesigning them anew. Laboratory evolution methods are now used widely to fine-tune the selectivity and activity of enzymes. The current rapid development of these combinatorial methods promises solutions to more complex problems, including the creation of new biosynthetic pathways. Computational methods are also developing quickly. The marriage of these approaches will allow us to generate the efficient, effective catalysts needed by the pharmaceutical, food and chemicals industries and should open up new opportunities for producing energy and chemicals from renewable resources.

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Arnold, Frances H.0000-0002-4027-364X
Additional Information:© 2001 Macmillan Magazines Ltd. I thank the many talented students and postdocs who have contributed to the development of new biocatalyst engineering tools in my laboratory, and the following organizations for their financial support: the US Office of Naval Research, the US National Science Foundation, the Army Research Office, Maxygen, Inc., The Biotechnology Research & Development Corporation, British Petroleum, Degussa AG and Procter & Gamble Co. I also thank C. Voigt and J. Shanklin for thoughtful comments, and J. Shanklin for Fig. 1.
Funding AgencyGrant Number
Office of Naval Research (ONR)UNSPECIFIED
Army Research Office (ARO)UNSPECIFIED
Biotechnology Research and Development CorporationUNSPECIFIED
British PetroleumUNSPECIFIED
Procter and GambleUNSPECIFIED
Issue or Number:6817
Record Number:CaltechAUTHORS:20150325-160247369
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:56095
Deposited By: Tony Diaz
Deposited On:26 Mar 2015 02:30
Last Modified:10 Nov 2021 20:54

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