Ensemble-based enzyme design can recapitulate the effects of laboratory directed evolution in silico.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 32968058.
- Also identified by DOI 10.1038/s41467-020-18619-x and PMC identifier 7511930.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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
- Computer Simulation
- Directed Molecular Evolution
- Enzymes
- Evolution, Chemical
- Lyases