Ensemble-based enzyme design can recapitulate the effects of laboratory directed evolution in silico.

Broom, Aron; Rakotoharisoa, Rojo V; Thompson, Michael C; Zarifi, Niayesh; Nguyen, Erin; Mukhametzhanov, Nurzhan; Liu, Lin; Fraser, James S et al. · Nat Commun · 2020

basic_science · Level V

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Abstract

The creation of artificial enzymes is a key objective of computational protein design. Although de novo enzymes have been successfully designed, these exhibit low catalytic efficiencies, requiring directed evolution to improve activity. Here, we use room-temperature X-ray crystallography to study changes in the conformational ensemble during evolution of the designed Kemp eliminase HG3 (k<sub>cat</sub>/K<sub>M</sub> 146 M<sup>-1</sup>s<sup>-1</sup>). We observe that catalytic residues are increasingly rigidified, the active site becomes better pre-organized, and its entrance is widened. Based on these observations, we engineer HG4, an efficient biocatalyst (k<sub>cat</sub>/K<sub>M</sub> 103,000 M<sup>-1</sup>s<sup>-1</sup>) containing key first and second-shell mutations found during evolution. HG4 structures reveal that its active site is pre-organized and rigidified for efficient catalysis. Our results show how directed evolution circumvents challenges inherent to enzyme design by shifting conformational ensembles to favor catalytically-productive sub-states, and suggest improvements to the design methodology that incorporate ensemble modeling of crystallographic data.

Medical subject headings