4UFN image
Deposition Date 2015-03-17
Release Date 2016-04-13
Last Version Date 2023-12-20
Entry Detail
PDB ID:
4UFN
Keywords:
Title:
Laboratory evolved variant R-C1B1 of potato epoxide hydrolase StEH1
Biological Source:
Source Organism:
Host Organism:
Method Details:
Experimental Method:
Resolution:
2.00 Å
R-Value Free:
0.21
R-Value Work:
0.17
R-Value Observed:
0.17
Space Group:
P 21 21 21
Macromolecular Entities
Structures with similar UniProt ID
Protein Blast
Polymer Type:polypeptide(L)
Molecule:EPOXIDE HYDROLASE
Mutagens:YES
Chain IDs:A, B
Chain Length:328
Number of Molecules:2
Biological Source:SOLANUM TUBEROSUM
Ligand Molecules
Primary Citation
Conformational Diversity and Enantioconvergence in Potato Epoxide Hydrolase 1.
Org.Biomol.Chem. 14 5639 ? (2016)
PMID: 27049844 DOI: 10.1039/C6OB00060F

Abstact

Potato epoxide hydrolase 1 (StEH1) is a biocatalytically important enzyme that exhibits rich enantio- and regioselectivity in the hydrolysis of chiral epoxide substrates. In particular, StEH1 has been demonstrated to enantioconvergently hydrolyze racemic mixes of styrene oxide (SO) to yield (R)-1-phenylethanediol. This work combines computational, crystallographic and biochemical analyses to understand both the origins of the enantioconvergent behavior of the wild-type enzyme, as well as shifts in activities and substrate binding preferences in an engineered StEH1 variant, R-C1B1, which contains four active site substitutions (W106L, L109Y, V141K and I155V). Our calculations are able to reproduce both the enantio- and regioselectivities of StEH1, and demonstrate a clear link between different substrate binding modes and the corresponding selectivity, with the preferred binding modes being shifted between the wild-type enzyme and the R-C1B1 variant. Additionally, we demonstrate that the observed changes in selectivity and the corresponding enantioconvergent behavior are due to a combination of steric and electrostatic effects that modulate both the accessibility of the different carbon atoms to the nucleophilic side chain of D105, as well as the interactions between the substrate and protein amino acid side chains and active site water molecules. Being able to computationally predict such subtle effects for different substrate enantiomers, as well as to understand their origin and how they are affected by mutations, is an important advance towards the computational design of improved biocatalysts for enantioselective synthesis.

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Primary Citation of related structures
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