Janez Mavri

Prof. Janez Mavri

National Institute of Chemistry, Hajdrihova 19 SI-1001 Ljubljana P.O.B. 660, Slovenia
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Research Focus & Metrics

Academic Career Length

28Years (1999-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 December 2018 in Frontiers in Molecular Neuroscience
Verified
Journal Article
Open access
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NUNejc Umek
Nejc Umek
BGBlaž Geršak
Blaž Geršak
NVNeli Vintar
Neli Vintar
MŠMaja Šoštarič
Maja Šoštarič
Janez MavriJanez Mavri
Janez Mavri
We studied the reaction mechanism of dopamine autoxidation using quantum chemical methods. Unlike other biogenic amines important in the central nervous system, dopamine and noradrenaline are capable of undergoing a non-enzymatic autoxidative reaction giving rise to a superoxide anion that further decomposes to reactive oxygen species. The reaction in question, which takes place in an aqueous solution, is as such not limited to the mitochondrial membrane where scavenging enzymes such as catalase and superoxide dismutase are located. With the experimental rate constant of 0.147 s−1, the dopamine autoxidation reaction is comparably as fast as the monoamine oxidase B catalyzed dopamine decomposition with a rate constant of 1 s−1. By using quantum chemical calculations, we demonstrated that the rate-limiting step is the formation of a hydroxide ion from a water molecule, which attacks the amino group that enters intramolecular Michael addition, giving rise to a pharmacologically inert aminochrome. We have shown that for dopamine stability on a time scale of days, it is essential that the pH value of the synaptic vesicle interior is acidic. The pathophysiologic correlates of the results are discussed in the context of Parkinson's disease as well as the pathology caused by long-term amphetamine and cocaine administration.

26 August 2020 in The Journal of Physical Chemistry B
Verified
Journal Article
Open access
APAlja Prah
Alja Prah
MPMiha Purg
Miha Purg
JSJernej Stare
Jernej Stare
Robert VianelloRobert Vianello
Robert Vianello
Janez MavriJanez Mavri
Janez Mavri
The enzyme-catalyzed degradation of the biogenic amine serotonin is an essential regulatory mechanism of its level in the human organism. In particular, monoamine oxidase A (MAO A) is an important flavoenzyme involved in the metabolism of monoamine neurotransmitters. Despite extensive research efforts, neither the catalytic nor the inhibition mechanisms of MAO enzymes are currently fully understood. In this article, we present the quantum mechanics/molecular mechanics simulation of the rate-limiting step for the serotonin decomposition, which consists of hydride transfer from the serotonin methylene group to the N5 atom of the flavin moiety. Free-energy profiles of the reaction were computed by the empirical valence bond method. Apart from the enzymatic environment, the reference reaction in the gas phase was also simulated, facilitating the estimation of the catalytic effect of the enzyme. The calculated barrier for the enzyme-catalyzed reaction of 14.82 ± 0.81 kcal mol–1 is in good agreement with the experimental value of 16.0 kcal mol–1, which provides strong evidence for the validity of the proposed hydride-transfer mechanism. Together with additional experimental and computational work, the results presented herein contribute to a deeper understanding of the catalytic mechanism of MAO A and flavoenzymes in general, and in the long run, they should pave the way toward applications in neuropsychiatry.

25 April 2012 in Journal of Chemical Theory and Computation
Verified
Journal Article
Closed access
RBRok Borštnar
Rok Borštnar
MRMatej Repič
Matej Repič
SKShina Caroline Lynn Kamerlin
Shina Caroline Lynn Kamerlin
Robert VianelloRobert Vianello
Robert Vianello
Janez MavriJanez Mavri
Janez Mavri

18 June 2015 in Molecular Neurobiology
Verified
Journal Article
Closed access
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MPMatic Pavlin
Matic Pavlin
MRMatej Repič
Matej Repič
Robert VianelloRobert Vianello
Robert Vianello
Janez MavriJanez Mavri
Janez Mavri

15 September 2014 in Proteins: Structure, Function, and Bioinformatics
Verified
Journal Article
Closed access
PDF file
MRMatej Repič
Matej Repič
Robert VianelloRobert Vianello
Robert Vianello
MPMiha Purg
Miha Purg
FDFernanda Duarte
Fernanda Duarte
PBPaul Bauer
Paul Bauer
Janez MavriJanez Mavri
Janez Mavri

11 April 2014 in The Journal of Physical Chemistry B
Verified
Journal Article
Closed access
MRMatej Repič
Matej Repič
MPMiha Purg
Miha Purg
Robert VianelloRobert Vianello
Robert Vianello
Janez MavriJanez Mavri
Janez Mavri