Musical Insights into Protein Sequences and Functions via NMR Data

Moosavi-Movahedi, Z.; Lordifard, P.; Akhavijou, R.; Kavousi, K.; Ariaeenejad, S.; Beh-Afarin, R.; Mortazavian, A. M.; Shockravi, A.; Moosavi-Movahedi, A. A.; Zahra Moosavi-Movahedi {dagger}, Parinaz Lordifard {dagger}, Ramin Akhavijou, Kaveh Kavousi, Shohreh,

doi:10.1101/2025.03.09.642256

bioRxiv · 10.1101/2025.03.09.642256

Musical Insights into Protein Sequences and Functions via NMR Data

Moosavi-Movahedi, Z.·Lordifard, P.·Akhavijou, R.·Kavousi, K.·Ariaeenejad, S.·Beh-Afarin, R.·Mortazavian, A. M.·Shockravi, A.·Moosavi-Movahedi, A. A.·Zahra Moosavi-Movahedi {dagger}, Parinaz Lordifard {dagger}, Ramin Akhavijou, Kaveh Kavousi, Shohreh,

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Abstract

This study explores an innovative technique for transforming rhythmic patterns found in nature into music, with a focus on protein sequences. For the past twenty years, various strategies have been developed for musical translation of biological sequences. This research presents a groundbreaking approach where music is derived from protein nano-scale structures using the atomic frequencies of amino acids extracted from NMR experiments. Each amino acid is assigned a unique musical note and duration, determined by its 13CNMR spectrum and relaxation period. Applying this method, music was composed from different protein sequences, including homologue {beta}-globin, where a set theory-based comparative analysis was conducted. This novel approach opens up a new auditory dimension for understanding protein functions.

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Moosavi-Movahedi, Z., Lordifard, P., Akhavijou, R., Kavousi, K., Ariaeenejad, S., Beh-Afarin, R., Mortazavian, A. M., Shockravi, A., Moosavi-Movahedi, A. A., Zahra Moosavi-Movahedi {dagger}, Parinaz Lordifard {dagger}, Ramin Akhavijou, Kaveh Kavousi, Shohreh,. 2025-03-14. Musical Insights into Protein Sequences and Functions via NMR Data. https://doi.org/10.1101/2025.03.09.642256

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