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De novo design of biocatalysts

Bolon, Daniel N. and Voigt, Christopher A. and Mayo, Stephen L. (2002) De novo design of biocatalysts. Current Opinion in Chemical Biology, 6 (2). pp. 125-129. ISSN 1367-5931. http://resolver.caltech.edu/CaltechAUTHORS:20110928-152719152

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Abstract

The challenging field of de novo enzyme design is beginning to produce exciting results. The application of powerful computational methods to functional protein design has recently succeeded at engineering target activities. In addition, efforts in directed evolution continue to expand the transformations that can be accomplished by existing enzymes. The engineering of completely novel catalytic activity requires traversing inactive sequence space in a fitness landscape, a feat that is better suited to computational design. Optimizing activity, which can include subtle alterations in backbone conformation and protein motion, is better suited to directed evolution, which is highly effective at scaling fitness landscapes towards maxima. Improved rational design efforts coupled with directed evolution should dramatically improve the scope of de novo enzyme design.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1016/S1367-5931(02)00303-4 DOIUNSPECIFIED
http://www.sciencedirect.com/science/article/pii/S1367593102003034PublisherUNSPECIFIED
Contact Email Address:steve@mayo.caltech.edu
Additional Information:© 2002 Elsevier Science Ltd. Published online 7th February 2002. This research was supported by the Howard Hughes Medical Institute, the Ralph M Parsons Foundation and a Shared University Research Grant from IBM (SLM), the Helen G and Arthur McCallum Foundation, the Evelyn Sharp Graduate Fellowship, and grant GM07616 from the National Institutes of Health (DNB), a National Science Foundation graduate research fellowship and a California Institute of Technology Initiative in Computational Molecular Biology funded by Burroughs Wellcome (CAV).
Funders:
Funding AgencyGrant Number
Howard Hughes Medical Institute (HHMI)UNSPECIFIED
Ralph M. Parsons FoundationUNSPECIFIED
IBM Shared University Research GrantUNSPECIFIED
Helen G. and Arthur McCallum FoundationUNSPECIFIED
Evelyn Sharp Graduate FellowshipUNSPECIFIED
NIHGM07616
NSF Graduate Research FellowshipUNSPECIFIED
Burroughs Wellcome Fund/Caltech Initiative in Computational Molecular BiologyUNSPECIFIED
Subject Keywords:Molecular Mimicry; Computer Simulation; Directed Molecular Evolution; Enzymes; Drug Design; Antibodies: Catalytic; Catalysis
Record Number:CaltechAUTHORS:20110928-152719152
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20110928-152719152
Official Citation:Daniel N Bolon, Christopher A Voigt, Stephen L Mayo, De novo design of biocatalysts, Current Opinion in Chemical Biology, Volume 6, Issue 2, 1 April 2002, Pages 125-129, ISSN 1367-5931, 10.1016/S1367-5931(02)00303-4.
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:25477
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:04 Oct 2011 20:52
Last Modified:23 Aug 2016 10:05

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