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Abstract
Glucuronoyl esterases (GEs) are α/β serine hydrolases and a relatively new addition in the toolbox to reduce the recalcitrance of lignocellulose, the biggest obstacle in cost-effective utilization of this important renewable resource. While biochemical and structural characterization of GEs have progressed greatly recently, there have yet been no mechanistic studies shedding light onto the rate-limiting steps relevant for biomass conversion. The bacterial GE OtCE15A possesses a classical yet distinctive catalytic machinery, with easily identifiable catalytic Ser/His completed by two acidic residues (Glu and Asp) rather than one as in the classical triad, and an Arg side chain participating in the oxyanion hole. By QM/MM calculations, we identified deacylation as the decisive step in catalysis, and quantified the role of Asp, Glu and Arg, showing the latter to be particularly important. The results agree well with experimental and structural data. We further calculated the free-energy barrier of post-catalysis dissociation from a complex natural substrate, suggesting that in industrial settings non-catalytic processes may constitute the rate-limiting step, and pointing to future directions for enzyme engineering in biomass utilization.
Zong and coworkers combine computational and experimental methods to decipher in detail the mechanism of action of glucuronoyl esterases, enzymes with significant biotechnological potential for decoupling lignin from polysaccharides in biomass.
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1 University of Copenhagen, Department of Chemistry, Copenhagen, Denmark (GRID:grid.5254.6) (ISNI:0000 0001 0674 042X); Nankai University, College of Chemistry, Research Center for Analytical Sciences, Tianjin Key Laboratory of Biosensing and Molecular Recognition, State Key Laboratory of Medicinal Chemical Biology, Tianjin, P. R. China (GRID:grid.216938.7) (ISNI:0000 0000 9878 7032)
2 Chalmers University of Technology, Wallenberg Wood Science Center, Division of Industrial Biotechnology, Department of Biology and Biological Engineering, Gothenburg, Sweden (GRID:grid.5371.0) (ISNI:0000 0001 0775 6028)
3 University of Campinas – Unicamp, Institute of Chemistry and Center for Computing in Engineering and Sciences, Campinas, Brazil (GRID:grid.411087.b) (ISNI:0000 0001 0723 2494)
4 Nankai University, College of Chemistry, Research Center for Analytical Sciences, Tianjin Key Laboratory of Biosensing and Molecular Recognition, State Key Laboratory of Medicinal Chemical Biology, Tianjin, P. R. China (GRID:grid.216938.7) (ISNI:0000 0000 9878 7032)
5 University of Copenhagen, Department of Chemistry, Copenhagen, Denmark (GRID:grid.5254.6) (ISNI:0000 0001 0674 042X)