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Improving catalytic function by ProSAR-driven enzyme evolution

Abstract

We describe a directed evolution approach that should find broad application in generating enzymes that meet predefined process-design criteria. It augments recombination-based directed evolution by incorporating a strategy for statistical analysis of protein sequence activity relationships (ProSAR). This combination facilitates mutation-oriented enzyme optimization by permitting the capture of additional information contained in the sequence-activity data. The method thus enables identification of beneficial mutations even in variants with reduced function. We use this hybrid approach to evolve a bacterial halohydrin dehalogenase that improves the volumetric productivity of a cyanation process 4,000-fold. This improvement was required to meet the practical design criteria for a commercially relevant biocatalytic process involved in the synthesis of a cholesterol-lowering drug, atorvastatin (Lipitor), and was obtained by variants that had at least 35 mutations.

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Figure 1: HHDH interconverts halohydrins and epoxides18 and can accept alternative nucleophiles17.
Figure 2: Multivariate optimization of enzymes.
Figure 3: Reaction progress curves for an expression mutant of the wild-type enzyme and representative variants obtained over the course of the evolution at a substrate loading of 130 g/l, substrate/biocatalyst at 100:1 (wt/wt), 40 °C and pH 7.3 (sequences in Supplementary Notes online).
Figure 4: Positions of mutations in the HHDH structure.
Figure 5: Function contribution by individual mutations under different screening conditions.

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Acknowledgements

We thank David Gray, Alice Wang, Su Chen, John Peterson, Walter Heath, Tim Brandon, Jon Postlethwaite, Anjali Srivastava and Bill Dewhirst for help with bioprocess development and production; Malissa Jefferson and Susan Louie for additional assay support; Patricia Babbitt, Pim Stemmer, Lynne Gilson, Lori Giver, Birthe Borup, Anke Krebber, Stephen DelCardayre and Jonathan Blanding for careful reading of the manuscript and helpful suggestions; and three anonymous reviewers for insightful commentary and critical feedback.

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Correspondence to Gjalt W Huisman.

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Fox, R., Davis, S., Mundorff, E. et al. Improving catalytic function by ProSAR-driven enzyme evolution. Nat Biotechnol 25, 338–344 (2007). https://doi.org/10.1038/nbt1286

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