2017
DOI: 10.1021/acs.jpcb.7b08759
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Three Faces of N-Acetylaspartate: Activator, Substrate, and Inhibitor of Human Aspartoacylase

Abstract: Hydrolysis of N-acetylaspartate (NAA), one of the most concentrated metabolites in brain, catalyzed by human aspartoacylase (hAsp) shows a remarkable dependence of the reaction rate on substrate concentration. At low NAA concentrations, sigmoidal shape of kinetic curve is observed, followed by typical rate growth of the enzyme-catalyzed reaction, whereas at high NAA concentrations self-inhibition takes place. We show that this rate dependence is consistent with a molecular model, in which N-acetylaspartate app… Show more

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Cited by 16 publications
(23 citation statements)
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References 38 publications
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“…Particularly characteristic manifestations of molecular polymorphisms of human proteins are related to the functioning of cholinesterase and acylase enzymes. The structural diversity of the catalytic activity of these enzymes provides a variety of dynamic responses in the same processes. Molecular polymorphisms are the basis of the predisposition to certain diseases. , …”
Section: Resultsmentioning
confidence: 99%
“…Particularly characteristic manifestations of molecular polymorphisms of human proteins are related to the functioning of cholinesterase and acylase enzymes. The structural diversity of the catalytic activity of these enzymes provides a variety of dynamic responses in the same processes. Molecular polymorphisms are the basis of the predisposition to certain diseases. , …”
Section: Resultsmentioning
confidence: 99%
“…Additional large-scale molecular dynamics and quantum-based calculations are required to clarify the reaction mechanism and the role of every residue in NAT8L. The strategy applied earlier to model NAA hydrolysis by ASPA can be used in subsequent studies to understand details of the NAA kinetics in cells. Simulations described in this work allow us to reveal the principal features in the active site of the NAT8L enzyme, the structure of which is unknown from experimental studies.…”
Section: Results For Nat8lmentioning
confidence: 99%
“…Among the tenets that computational structural biology may increasingly embrace in the next few years are integrated deep neural networks, Markov state models, and metastable states for sampling conformational space, which will permit mining the entire free-energy landscape, thus providing insight into biological macromolecular actions, including catalysis [123,124,125,126,127,128,129] and dynamic networks [130]. Other topics of interest are integrative or hybrid modeling across disparate scales [131,132,133,134,135,136], including organelles, cells, and tissues, and archiving of the models [137]; harnessing machine intelligence to extract trends and predict outcomes; making headway in precision medicine [138,139]; improving software for imaging technologies and analysis and unveiling the mechanisms, on the structural level, through which the microbiota can hijack host signaling and impact human health.…”
Section: Some Emerging Principles In Computational Structural Biologymentioning
confidence: 99%