Journal Article FZJ-2018-06542

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Ab Initio Simulation of pH-Sensitive Biomarkers in Magnetic Resonance Imaging

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2018
Soc.66306 Washington, DC

The journal of physical chemistry <Washington, DC> / A A, Molecules, spectroscopy, kinetics, environment & general theory 122(40), 7983 - 7990 () [10.1021/acs.jpca.8b04665]

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Abstract: An ab initio simulation scheme is introduced as a theoretical prescreening approach to facilitate and enhance the research for pH-sensitive biomarkers. The proton 1H and carbon 13C nuclear magnetic resonance (NMR) chemical shifts of the recently published marker for extracellular pH, [1,5–13C2]zymonic acid (ZA), and the as yet unpublished (Z)-4-methyl-2-oxopent-3-enedioic acid (OMPD) were calculated with ab initio methods as a function of the pH. The influence of the aqueous solvent was taken into account either by an implicit solvent model or by explicit water molecules, where the latter improved the accuracy of the calculated chemical shifts considerably. The theoretically predicted chemical shifts allowed for a reliable NMR peak assignment. The pKa value of the first deprotonation of ZA and OMPD was simulated successfully whereas the parametrization of the implicit solvent model does not allow for an accurate description of the second pKa. The theoretical models reproduce the pH-induced chemical shift changes and the first pKa with sufficient accuracy to establish the ab initio prescreening approach as a valuable support to guide the experimental search for pH-sensitive biomarkers.

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Contributing Institute(s):
  1. Grundlagen der Elektrochemie (IEK-9)
Research Program(s):
  1. 135 - Fuel Cells (POF3-135) (POF3-135)

Appears in the scientific report 2018
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Medline ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; Ebsco Academic Search ; IF < 5 ; JCR ; NCBI Molecular Biology Database ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Web of Science Core Collection
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 Record created 2018-11-19, last modified 2024-07-12


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