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  Towards a Fitting Model of Macromolecular Spectra: Amino Acids

Borbath, T., Murali Manohar, S., & Henning, A. (2019). Towards a Fitting Model of Macromolecular Spectra: Amino Acids. In ISMRM 27th Annual Meeting & Exhibition.

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 Creators:
Borbath, T1, 2, Author           
Murali Manohar, S1, 2, Author           
Henning, A1, 2, Author           
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1Research Group MR Spectroscopy and Ultra-High Field Methodology, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528692              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Abstract: 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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 Dates: 2019-05
 Publication Status: Published online
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Title: 27th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2019)
Place of Event: Montréal, QC, Canada
Start-/End Date: 2019-05-11 - 2019-05-16

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Title: ISMRM 27th Annual Meeting & Exhibition
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: 1068 Start / End Page: - Identifier: -