Summary: Journal of Cellular Biochemistry Supplement 37:58▒63 (2001)
Computationally Focusing the Directed Evolution
Christopher A. Voigt,1
* Stephen L. Mayo,2
Frances H. Arnold,3
and Zhen-Gang Wang3
Biochemistry and Molecular Biophysics, California Institute of Technology, Pasadena, California
Howard Hughes Medical Institute and Division of Biology, California Institute of Technology, Pasadena,
Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California
Abstract Directed evolution has proven to be a successful strategy for the modi«cation 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 speci«c residues for mutagenesis, and the design of recombination
experiments. J. Cell. Biochem. Suppl. 37: 58▒63, 2001. ▀ 2002 Wiley-Liss, Inc.