Origins of catalysis by computationally designed retroaldolase enzymes

86Citations
Citations of this article
141Readers
Mendeley users who have this article in their library.

Abstract

We have investigated recently reported computationally designed retroaldolase enzymes with the goal of understanding the extent and the origins of their catalytic power. Direct comparison of the designed enzymes to primary amine catalysts in solution revealed a rate acceleration of 105-fold for the most active of the designed retroaldolases. Through pH-rate studies of the designed retroaldolases and evaluation of a Brønsted correlation for a series of amine catalysts, we found that lysine pKa values are shifted by 3-4 units in the enzymes but that the catalytic contributions fromthe shifted pKa values are estimated to be modest, about 10-fold. For the most active of the reported enzymes, we evaluated the catalytic contribution of two other design components: a motif intended to stabilize a bound water molecule and hydrophobic substrate binding interactions. Mutational analysis suggested that the bound water motif does not contribute to the rate acceleration. Comparison of the rate acceleration of the designed substrate relative to a minimal substrate suggested that hydrophobic substrate binding interactions contribute around 103-fold to the enzymatic rate acceleration. Altogether, these results suggest that substrate binding interactions and shifting the pKa of the catalytic lysine can account for much of the enzyme's rate acceleration. Additional observations suggest that these interactions are limited in the specificity of placement of substrate and active site catalytic groups. Thus, future design efforts may benefit from a focus on achieving precision in binding interactions and placement of catalytic groups.

Cite

CITATION STYLE

APA

Lassila, J. K., Baker, D., & Herschlag, D. (2010). Origins of catalysis by computationally designed retroaldolase enzymes. Proceedings of the National Academy of Sciences of the United States of America, 107(11), 4937–4942. https://doi.org/10.1073/pnas.0913638107

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free