Nature generates functional molecules through integrated cycles of diversification, selection, and amplification. While researchers have demonstrated the power of adapting this approach in the laboratory to generate proteins with desired binding or catalytic properties, the scope of protein molecular evolution is currently limited by the small number of strategies to screen or select for proteins with desired properties. Selections performed inside the living cell, in particular, are rare despite the significant advantages of in vivo selections over in vitro selections or screens. Moreover, while several proteins have been evolved to accept new substrates, the result of a selection or screen for new substrate tolerance is often an enzyme with broadened, rather than altered specificity. Our work seeks to address these existing limitations of protein molecular evolution. We propose the development of coupled positive and negative in vivo selections for the evolution of three classes of enzymes that manipulate biological macromolecules in powerful ways: recombinases, homing endonucleases, and inteins. The successful implementation of these methods will expand our understanding of these three important classes of enzymes and will validate the potential of coupled in vivo positive and negative selections to generate enzymes with truly altered, rather than simply broadened, specificities and activities. In addition, the successful evolution of each of these enzymes towards new activities may produce powerful research tools such as ligand-activated protein splicing domains and enzymes that specifically cleave or recombine DNA at sequences chosen by the researcher. Proteins evolved in this manner may also represent novel therapeutic approaches to protecting cells from viral infection and to manipulating virtually any protein-mediated process with a small molecule.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM065400-04
Application #
6879140
Study Section
Genetics Study Section (GEN)
Program Officer
Jones, Warren
Project Start
2002-04-01
Project End
2007-03-31
Budget Start
2005-04-01
Budget End
2006-03-31
Support Year
4
Fiscal Year
2005
Total Cost
$273,840
Indirect Cost
Name
Harvard University
Department
Chemistry
Type
Schools of Arts and Sciences
DUNS #
082359691
City
Cambridge
State
MA
Country
United States
Zip Code
02138
Chen, Zhen; Lichtor, Phillip A; Berliner, Adrian P et al. (2018) Evolution of sequence-defined highly functionalized nucleic acid polymers. Nat Chem 10:420-427
Komor, Alexis C; Badran, Ahmed H; Liu, David R (2017) CRISPR-Based Technologies for the Manipulation of Eukaryotic Genomes. Cell 168:20-36
Rees, Holly A; Komor, Alexis C; Yeh, Wei-Hsi et al. (2017) Improving the DNA specificity and applicability of base editing through protein engineering and protein delivery. Nat Commun 8:15790
Kim, Y Bill; Komor, Alexis C; Levy, Jonathan M et al. (2017) Increasing the genome-targeting scope and precision of base editing with engineered Cas9-cytidine deaminase fusions. Nat Biotechnol 35:371-376
Chan, Alix I; McGregor, Lynn M; Jain, Tara et al. (2017) Discovery of a Covalent Kinase Inhibitor from a DNA-Encoded Small-Molecule Library × Protein Library Selection. J Am Chem Soc 139:10192-10195
Hubbard, Basil P; Badran, Ahmed H; Zuris, John A et al. (2015) Continuous directed evolution of DNA-binding proteins to improve TALEN specificity. Nat Methods 12:939-42
Badran, Ahmed H; Liu, David R (2015) Development of potent in vivo mutagenesis plasmids with broad mutational spectra. Nat Commun 6:8425
Badran, Ahmed H; Liu, David R (2015) In vivo continuous directed evolution. Curr Opin Chem Biol 24:1-10
Dorr, Brent M; Ham, Hyun Ok; An, Chihui et al. (2014) Reprogramming the specificity of sortase enzymes. Proc Natl Acad Sci U S A 111:13343-8
Leconte, Aaron M; Dickinson, Bryan C; Yang, David D et al. (2013) A population-based experimental model for protein evolution: effects of mutation rate and selection stringency on evolutionary outcomes. Biochemistry 52:1490-9

Showing the most recent 10 out of 38 publications