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Computationally Focusing the Directed Evolution of Proteins

Voigt, Christopher A. and Mayo, Stephen L. and Arnold, Frances H. and Wang, Zhen-Gang (2001) Computationally Focusing the Directed Evolution of Proteins. Journal of Cellular Biochemistry, 84 (S37). pp. 58-63. ISSN 0730-2312. doi:10.1002/jcb.10066.

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Directed evolution has proven to be a successful strategy for the modification of enzyme properties. To date, the preferred experimental procedure has been to apply mutations or crossovers randomly throughout the gene. With the emergence of powerful computational methods, it has become possible to develop focused combinatorial searches, guided by computer algorithms. Here, we describe several computational methods that have emerged to aid the optimization of mutant libraries, the targeting of specific residues for mutagenesis, and the design of recombination experiments.

Item Type:Article
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URLURL TypeDescription 10.1002/jcb.10066DOIArticle
Mayo, Stephen L.0000-0002-9785-5018
Arnold, Frances H.0000-0002-4027-364X
Wang, Zhen-Gang0000-0002-3361-6114
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Additional Information:© 2002 Wiley-Liss, Inc. Received 18 September 2001; Accepted 19 September 2001. Article first published online: 29 Jan 2002.
Subject Keywords:Mutagenesis; Directed Molecular Evolution; Proteins; Algorithms; Recombination: Genetic; DNA; Computational Biology; directed evolution; recombination; computational methods
Issue or Number:S37
Record Number:CaltechAUTHORS:20110927-154155139
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Official Citation:Voigt, C. A., Mayo, S. L., Arnold, F. H. and Wang, Z.-G. (2001), Computationally focusing the directed evolution of proteins. Journal of Cellular Biochemistry, 84: 58–63. doi: 10.1002/jcb.10066
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:25455
Deposited By: Ruth Sustaita
Deposited On:28 Sep 2011 14:39
Last Modified:09 Nov 2021 16:33

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