Computationally focusing the directed evolution of proteins
Article first published online: 29 JAN 2002
Copyright © 2001 Wiley-Liss, Inc.
Journal of Cellular Biochemistry
Supplement: Enhancing Drug Discovery and Development
Volume 84, Issue Supplement 37, pages 58–63, 2001
How to Cite
Voigt, C. A., Mayo, S. L., Arnold, F. H. and Wang, Z.-G. (2001), Computationally focusing the directed evolution of proteins. J. Cell. Biochem., 84: 58–63. doi: 10.1002/jcb.10066
- Issue published online: 29 JAN 2002
- Article first published online: 29 JAN 2002
- Manuscript Accepted: 19 SEP 2001
- Manuscript Received: 18 SEP 2001
- directed evolution;
- computational methods
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. J. Cell. Biochem. Suppl. 37: 58–63, 2001. © 2002 Wiley-Liss, Inc.