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Letter
Nature 441, 656-659 (1 June 2006) | doi:10.1038/nature04818; Received 9 January 2006; Accepted 21 April 2006
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Computational redesign of endonuclease DNA binding and cleavage specificity
Justin Ashworth1, James J. Havranek1, Carlos M. Duarte1, Django Sussman3, Raymond J. Monnat, Jr2, Barry L. Stoddard3 & David Baker1
- Howard Hughes Medical Institute and Department of Biochemistry,
- Departments of Pathology and Genome Sciences, University of Washington, Seattle, Washington 98195, USA
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue, Seattle, Washington 98109, USA
Correspondence to: Justin Ashworth1David Baker1 Correspondence and requests for materials should be addressed to J.A. (Email: ashwortj@u.washington.edu) or D.B. (Email: dabaker@u.washington.edu). The atomic coordinates of the redesigned I-MsoI endonuclease bound to its cognate DNA have been deposited in the Protein Data Bank with the accession number 2FLD.
Abstract
The reprogramming of DNA-binding specificity is an important challenge for computational protein design that tests current understanding of protein–DNA recognition, and has considerable practical relevance for biotechnology and medicine1, 2, 3, 4, 5, 6. Here we describe the computational redesign of the cleavage specificity of the intron-encoded homing endonuclease I-MsoI7 using a physically realistic atomic-level forcefield8, 9. Using an in silico screen, we identified single base-pair substitutions predicted to disrupt binding by the wild-type enzyme, and then optimized the identities and conformations of clusters of amino acids around each of these unfavourable substitutions using Monte Carlo sampling10. A redesigned enzyme that was predicted to display altered target site specificity, while maintaining wild-type binding affinity, was experimentally characterized. The redesigned enzyme binds and cleaves the redesigned recognition site
10,000 times more effectively than does the wild-type enzyme, with a level of target discrimination comparable to the original endonuclease. Determination of the structure of the redesigned nuclease-recognition site complex by X-ray crystallography confirms the accuracy of the computationally predicted interface. These results suggest that computational protein design methods can have an important role in the creation of novel highly specific endonucleases for gene therapy and other applications.
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