Details der Publikation - A music approach to time–frequency conversion in hormones: a novel methodology for auditory pattern using NMR spectroscopy

A music approach to time–frequency conversion in hormones: a novel methodology for auditory pattern using NMR spectroscopy

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..

Medienart:	E-Artikel

Erscheinungsjahr:	2023
Erschienen:	2023

Enthalten in:	Zur Gesamtaufnahme - volume:20
Enthalten in:	Journal of the Iranian Chemical Society - 20(2023), 10 vom: 26. Aug., Seite 2501-2505

Sprache:	Englisch

Beteiligte Personen:	Shockravi, Abbas [VerfasserIn] Akhavijou, Ramin [VerfasserIn] Barzegar, Hossein [VerfasserIn] Jafari, Reza [VerfasserIn] Moazzam, Ali [VerfasserIn] Nematollahirad, Mohammad Reza [VerfasserIn] Kavousi, Kaveh [VerfasserIn] Movahedi, Ali Akbar Moosavi [VerfasserIn]

Links:	Volltext [lizenzpflichtig]

Themen:	Hormone Leu-enkephalin Max/MSP Met-enkephalin Musical approach NMR Nuclear magnetic resonance spectroscopy Peptide melody Relaxation time Time–frequency domains

Anmerkungen:	© Iranian Chemical Society 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

doi:	10.1007/s13738-023-02835-5

funding:
Förderinstitution / Projekttitel:

PPN (Katalog-ID):	OLC2145543058

Internformat


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520			\|a 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.
650		4	\|a Leu-enkephalin
650		4	\|a Met-enkephalin
650		4	\|a Musical approach
650		4	\|a Peptide melody
650		4	\|a Hormone
650		4	\|a Nuclear magnetic resonance spectroscopy
650		4	\|a NMR
650		4	\|a Time–frequency domains
650		4	\|a Relaxation time
650		4	\|a Max/MSP
700	1		\|a Akhavijou, Ramin \|4 aut
700	1		\|a Barzegar, Hossein \|4 aut
700	1		\|a Jafari, Reza \|4 aut
700	1		\|a Moazzam, Ali \|4 aut
700	1		\|a Nematollahirad, Mohammad Reza \|4 aut
700	1		\|a Kavousi, Kaveh \|4 aut
700	1		\|a Movahedi, Ali Akbar Moosavi \|4 aut
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A music approach to time–frequency conversion in hormones: a novel methodology for auditory pattern using NMR spectroscopy

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