This grant application describes a cell-based assay for detecting molecular recognition and catalysis that can be used to evolve proteins with new functions. There is tremendous interest in being able to engineer proteins with new specificities and new activities for use as reagents for biomedical research, diagnostics and therapeutics for the health care community, and tools for the pharmaceutical industry. The screen builds from existing technology for dimerizing proteins inside a cell with dimeric ligands via the ligands' receptors (CIDs). By replacing one of the ligand-receptor pairs with potential binding partners, binding can be detected. By replacing the chemical linker between the two ligands with a bond and adding an enzyme, the assay can be used as a read-out for bond formation or bond cleavage. In Preliminary Results dexamethasone-methotrexate CIDs with non-cleavable and cleavable linkers have been developed.
Aim 1 outlines our plans to evolve a protein receptor for estradiol that can be used in medical diagnostics for monitoring estrogen levels in women. We have developed a docking algorithm to pick several monomeric proteins from the PDB as the starting protein scaffolds. We plan to mutagenize these proteins using existing methods and then select for high affinity, specific receptors by screening for binding to estradiol and against binding to other common steroids.
Aim 2 describes our plans to modify the yeast two-hybrid assay to detect catalysis and then evolve a penicillin-binding protein into a cephalosporinase enzyme. Penicillin-binding proteins are the target of penicillin antibiotics and are believed to be the evolutionary precursors of cephalosporinases, the bacterial resistance enzymes that hydrolyze and inactivate these antibiotics. Because of the evolutionary relationship, the PBPs present a tractable first target for enzyme evolution. Moreover, this project should provide insight into how bacteria evolve antibiotic resistance and the mechanism by which the resistance enzymes hydrolyze the antibiotic. Finally, in Aim 3, we propose to develop a bacterial CID so that future protein evolution experiments can be carried out in bacteria. Bacteria have faster doubling times and higher transformation efficiencies than yeast, and so a bacterial CID system should facilitate the evolution experiments.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
1R01GM062867-01A1
Application #
6430603
Study Section
Bio-Organic and Natural Products Chemistry Study Section (BNP)
Program Officer
Schwab, John M
Project Start
2002-01-01
Project End
2006-12-31
Budget Start
2002-01-01
Budget End
2002-12-31
Support Year
1
Fiscal Year
2002
Total Cost
$285,231
Indirect Cost
Name
Columbia University (N.Y.)
Department
Chemistry
Type
Other Domestic Higher Education
DUNS #
064931884
City
New York
State
NY
Country
United States
Zip Code
10027
Ostrov, Nili; Wingler, Laura M; Cornish, Virginia W (2013) Gene assembly and combinatorial libraries in S. cerevisiae via reiterative recombination. Methods Mol Biol 978:187-203
Harton, Marie D; Wingler, Laura M; Cornish, Virginia W (2013) Transcriptional regulation improves the throughput of three-hybrid counter selections in Saccharomyces cerevisiae. Biotechnol J 8:1485-91
Romanini, Dante W; Peralta-Yahya, Pamela; Mondol, Vanessa et al. (2012) A Heritable Recombination system for synthetic Darwinian evolution in yeast. ACS Synth Biol 1:602-9
Wingler, Laura M; Cornish, Virginia W (2011) Reiterative Recombination for the in vivo assembly of libraries of multigene pathways. Proc Natl Acad Sci U S A 108:15135-40
Wingler, Laura M; Cornish, Virginia W (2011) A library approach for the discovery of customized yeast three-hybrid counter selections. Chembiochem 12:715-7
Pirakitikulr, Nathan; Ostrov, Nili; Peralta-Yahya, Pamela et al. (2010) PCRless library mutagenesis via oligonucleotide recombination in yeast. Protein Sci 19:2336-46
Bronson, Jonathan E; Mazur, William W; Cornish, Virginia W (2008) Transcription factor logic using chemical complementation. Mol Biosyst 4:56-8
Peralta-Yahya, Pamela; Carter, Brian T; Lin, Hening et al. (2008) High-throughput selection for cellulase catalysts using chemical complementation. J Am Chem Soc 130:17446-52
Tao, Haiyan; Peralta-Yahya, Pamela; Decatur, John et al. (2008) Characterization of a new glycosynthase cloned by using chemical complementation. Chembiochem 9:681-4
Lefurgy, Scott T; de Jong, Rene M; Cornish, Virginia W (2007) Saturation mutagenesis of Asn152 reveals a substrate selectivity switch in P99 cephalosporinase. Protein Sci 16:2636-46

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