Massively parallel determination and modeling of endonuclease substrate specificity

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Massively parallel determination and modeling of endonuclease substrate specificity

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Title: Massively parallel determination and modeling of endonuclease substrate specificity
Author: Thyme, Summer B.; Song, Yifan; Brunette, T. J.; Szeto, Mindy D.; Kusak, Lara; Bradley, Philip; Baker, David

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Citation: Thyme, Summer B., Yifan Song, T. J. Brunette, Mindy D. Szeto, Lara Kusak, Philip Bradley, and David Baker. 2014. “Massively parallel determination and modeling of endonuclease substrate specificity.” Nucleic Acids Research 42 (22): 13839-13852. doi:10.1093/nar/gku1096. http://dx.doi.org/10.1093/nar/gku1096.
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Abstract: We describe the identification and characterization of novel homing endonucleases using genome database mining to identify putative target sites, followed by high throughput activity screening in a bacterial selection system. We characterized the substrate specificity and kinetics of these endonucleases by monitoring DNA cleavage events with deep sequencing. The endonuclease specificities revealed by these experiments can be partially recapitulated using 3D structure-based computational models. Analysis of these models together with genome sequence data provide insights into how alternative endonuclease specificities were generated during natural evolution.
Published Version: doi:10.1093/nar/gku1096
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4267613/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:13581116
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