Ensemble-based enzyme design can recapitulate the effects of laboratory directed evolution in silico.
Aron BroomRojo V RakotoharisoaMichael C ThompsonNiayesh ZarifiErin NguyenNurzhan MukhametzhanovLin LiuBrian K ShoichetRoberto A ChicaPublished in: Nature communications (2020)
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 (kcat/KM 146 M-1s-1). 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 (kcat/KM 103,000 M-1s-1) 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.
Keyphrases
- room temperature
- high resolution
- molecular dynamics
- molecular dynamics simulations
- convolutional neural network
- fluorescent probe
- single molecule
- electronic health record
- gene expression
- molecular docking
- computed tomography
- ionic liquid
- mass spectrometry
- magnetic resonance imaging
- amino acid
- binding protein
- protein protein
- contrast enhanced