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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Published in | Organic & biomolecular chemistry Vol. 16; no. 24; pp. 4443 - 4455 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
England
Royal Society of Chemistry
2018
|
Subjects | |
Online Access | Get full text |
ISSN | 1477-0520 1477-0539 1477-0539 |
DOI | 10.1039/c8ob00066b |
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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. |
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Bibliography: | 10.1039/c8ob00066b Electronic supplementary information (ESI) available: Fig. S1-S5, Tables S1-S3 and extra details on umbrella sampling simulations. See DOI ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 These authors contributed equally to this work. |
ISSN: | 1477-0520 1477-0539 1477-0539 |
DOI: | 10.1039/c8ob00066b |