Abstract #1068

Towards a Fitting Model of Macromolecular Spectra: Amino Acids

Tamás Borbáth^1,2, Saipavitra Murali Manohar^1,2, and Anke Henning¹

¹Biological Cybernetics, Max Planck Institute, Tübingen, Germany, ²Faculty of Science, University of Tübingen, Tübingen, Germany

Broad signals underlying in vivo ¹H MRS spectra are referred to in literature as macromolecules, and have been assigned to amino acids by Behar et al. These amino acids are creating proteins through chemical bonds. Depending on the protein structure and sequence of amino acids, they have different chemical shifts as published in protein NMR databases. This work uses these published chemical shifts to create a fitting model for the macromolecular baselines of human brain using amino acids.

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