Evidence map›Paper›PMID 29767194›Full record

ArticleOrganic & biomolecular chemistry2018

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

Emilio Lence, Marc W van der Kamp, Concepción González-Bello, Adrian J Mulholland

Abstract read
In one paragraph

Article in Organic & biomolecular chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Emilio LenceCentre for Computational Chemistry, School of Chemistry, University of Bristol, Cantock's Close, BS8 1TS Bristol, UK. adrian.mulholland@bristol.ac.uk.
Marc W van der Kamp
Concepción González-Bello
Adrian J Mulholland

Funding

Biotechnology and Biological Sciences Research Council BB/L01386X/1
6 · The paper itself

Abstract

Type II dehydroquinase enzymes (DHQ2), recognized targets for antibiotic drug discovery, show significantly different activities dependent on the species: DHQ2 from Mycobacterium tuberculosis (MtDHQ2) and Helicobacter pylori (HpDHQ2) 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 MtDHQ2, mainly by the essential residues Tyr24 and Arg19, makes it more efficient than HpDHQ2. Further, a water molecule, which is absent in MtDHQ2 but involved in generation of the catalytic Tyr22 tyrosinate in HpDHQ2, 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.

Indexed as

BiocatalysisAmino Acid SequenceArginineAspartic AcidCatalytic DomainHelicobacter pyloriHydro-LyasesModels, ChemicalMolecular Dynamics SimulationMycobacterium tuberculosisQuantum TheoryTyrosineWater3-dehydroquinate dehydrataseArginineAspartic AcidHydro-LyasesTyrosineWater

Identifiers

PMID29767194
PMCPMC6011038

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.