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,
Show 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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