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

dc.contributor.affiliationUniversidade de Santiago de Compostela. Centro de Investigación en Química Biolóxica e Materiais Molecularesgl
dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Química Orgánicagl
dc.contributor.authorLence Quintana, Emilio José
dc.contributor.authorder Kamp, Marc W. van
dc.contributor.authorGonzález Bello, Concepción
dc.contributor.authorMulholland, Adrian J.
dc.date.accessioned2021-01-26T12:47:42Z
dc.date.available2021-01-26T12:47:42Z
dc.date.issued2018
dc.description.abstractType 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 designgl
dc.description.peerreviewedSIgl
dc.description.sponsorshipFinancial support from the Spanish Ministry of Economy and Competiveness (SAF2016-75638-R), the Xunta de Galicia (Centro singular de investigación de Galicia accreditation 2016–2019, ED431G/09) and the European Union (European Regional Development Fund - ERDF) is gratefully acknowledged. EL thanks the Xunta de Galicia for his postdoctoral fellowship. MWvdK is a BBSRC David Phillips Fellow (BB/M026280/1) and he and AJM thank EPSRC for funding (grant numbers EP/G007705/1; EP/M022609/1; EP/M013219/1)gl
dc.identifier.citationOrg. Biomol. Chem., 2018,16, 4443-4455gl
dc.identifier.doi10.1039/C8OB00066B
dc.identifier.essn1477-0539
dc.identifier.issn1477-0520
dc.identifier.urihttp://hdl.handle.net/10347/24328
dc.language.isoenggl
dc.publisherRoyal Society of Chemistrygl
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/SAF2016-75638-R/ES
dc.relation.publisherversionhttps://doi.org/10.1039/C8OB00066Bgl
dc.rights© Royal Society of Chemistry 2018. Open Access Article. This article is licensed under a Creative Commons Attribution 3.0 Unported Licencegl
dc.rights.accessRightsopen accessgl
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/
dc.titleQM/MM simulations identify the determinants of catalytic activity differences between type II dehydroquinase enzymesgl
dc.typejournal articlegl
dc.type.hasVersionVoRgl
dspace.entity.typePublication
relation.isAuthorOfPublication7efb0f88-bddb-45cd-8387-d6cb72851ed9
relation.isAuthorOfPublicationf6672ba5-c599-442d-b04f-e5aafa7d2f3b
relation.isAuthorOfPublication.latestForDiscovery7efb0f88-bddb-45cd-8387-d6cb72851ed9

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