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QM/MM simulations identify the determinants of catalytic activity differences between type II dehydroquinase enzymes

Type II dehydroquinase enzymes (DHQ2), recognized targets for antibiotic drug discovery, show significantly different activities dependent on the species: DHQ2 from Mycobacterium tuberculosis ( Mt DHQ2) and Helicobacter pylori ( Hp DHQ2) show a 50-fold difference in catalytic efficiency. Revealing t...

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Bibliographic Details
Published in:Organic & biomolecular chemistry 2018, Vol.16 (24), p.4443-4455
Main Authors: Lence, Emilio, van der Kamp, Marc W, González-Bello, Concepción, Mulholland, Adrian J
Format: Article
Language:English
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Summary:Type II dehydroquinase enzymes (DHQ2), recognized targets for antibiotic drug discovery, show significantly different activities dependent on the species: DHQ2 from Mycobacterium tuberculosis ( Mt DHQ2) and Helicobacter pylori ( Hp DHQ2) show a 50-fold difference in catalytic efficiency. Revealing the determinants of this activity difference is important for our understanding of biological catalysis and further offers the potential to contribute to tailoring specificity in drug design. Molecular dynamics simulations using a quantum mechanics/molecular mechanics potential, with correlated ab initio single point corrections, identify and quantify the subtle determinants of the experimentally observed difference in efficiency. The rate-determining step involves the formation of an enolate intermediate: more efficient stabilization of the enolate and transition state of the key step in Mt DHQ2, mainly by the essential residues Tyr24 and Arg19, makes it more efficient than Hp DHQ2. Further, a water molecule, which is absent in Mt DHQ2 but involved in generation of the catalytic Tyr22 tyrosinate in Hp DHQ2, was found to destabilize both the transition state and the enolate intermediate. The quantification of the contribution of key residues and water molecules in the rate-determining step of the mechanism also leads to improved understanding of higher potencies and specificity of known inhibitors, which should aid ongoing inhibitor design. Multiscale simulations pinpoint specific interactions responsible for differences in stabilization of key reacting species in two recognized targets for antibiotic development.
ISSN:1477-0520
1477-0539
DOI:10.1039/c8ob00066b