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![](https://webarchive.library.unt.edu/eot2008/20090513215947im_/http://www.ars.usda.gov/incme/images/Research_head.gif) |
Research Project:
Microbial Catalysts to Produce Fuel Ethanol and Value Added Products
Location: Bioproducts and Biocatalysis Research
Title: Adaptation to an automated platform of algorithmic combinations of advantageous mutations in genes generated using amino acid scanning mutational strategy.
Authors
Submitted to: Meeting Abstract
Publication Type:
Abstract
Publication Acceptance Date: January 12, 2007
Publication Date: January 12, 2007
Citation: Riedmuller, S., Hughes, S.R., Hector, R.E., Bischoff, K.M., Farrelly, P., Cotta, M.A., Li, X. 2007. Adaptation to an automated platform of algorithmic combinations of advantageous mutations in genes generated using amino acid scanning mutational strategy [abstract]. PEPTALK 2007. Cambridge Healthtech Institute. Seminar 43. p. 4.
Technical Abstract: Recent mutational strategies for generating and screening of genes for optimized traits, including directed evolution, domain shuffling, random mutagenesis, and site-directed mutagenesis, have been adapted for automated platforms. Here we discuss the amino acid scanning mutational strategy and its adaptation to the plasmid¿based functional proteomic workcell for use in rapidly generating optimized genes with multiple nucleotide changes to engineer improved protein and peptide functional characteristics.
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Last Modified: 05/12/2009
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