Abstract
In this work, we have performed an alternative analytical process including the transformation of few biological molecules’ frequencies data obtained by 13CNMR spectroscopy into sounds characterized with their frequencies, intensities, and time durations. As a main point, we have relied on the “magnetic behavior of proton” as a positively charged species in the nucleus to measure the nucleus relaxation time and frequency domains. This proposal is examined for human beta-globin sequences using only “α-carbon” of their containing amino acids. Similarly, “all 23 kinds of carbon atoms in the Leu- and Met-enkephalins” as hormones have been studied and converted to musical data using time–frequency MUSIC algorithm (TFMusic-A) in which Max/MSP program is used for musical conversions. The results show that the TFMusic-A might be a proper candidate and primarily a creative symbolic method for fundamental unity between the natural ordered structure of life and humans.
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Acknowledgements
We thank Prof. Dr. Saeed Balalaie for his kind offering of the synthesized Leu-enkephalin in his peptides research laboratory at K. N. Toosi University of Technology. The authors also thank Vesna Stanojlovic Ph.D. student of Salzburg University for synthesis of Met-enkephalin peptide and Dr. Mario Schubert for measurement of NMR experiments in his research laboratory and providing the 600MHz NMR instrument at Salzburg University. This work was financially supported by the Faculty of Chemistry at Kharazmi University including 300MHz-NMR spectroscopic means. The support of Kharazmi University, University of Tehran is acknowledged.
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Shockravi, A., Akhavijou, R., Barzegar, H. et al. A music approach to time–frequency conversion in hormones: a novel methodology for auditory pattern using NMR spectroscopy. J IRAN CHEM SOC 20, 2501–2505 (2023). https://doi.org/10.1007/s13738-023-02835-5
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DOI: https://doi.org/10.1007/s13738-023-02835-5