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Title: Protein music of enhanced musicality by music style guided exploration of diverse amino acid properties
Authors: Tay, Nicole WanNi
Liu, Fanxi
Wang, Chaoxin
Zhang, Hui
Zhang, Peng 
Chen, Yu Zong 
Keywords: Amino acid properties
Protein music
Sequence-to-music mapping
Issue Date: 1-Sep-2021
Publisher: Elsevier Ltd
Citation: Tay, Nicole WanNi, Liu, Fanxi, Wang, Chaoxin, Zhang, Hui, Zhang, Peng, Chen, Yu Zong (2021-09-01). Protein music of enhanced musicality by music style guided exploration of diverse amino acid properties. Heliyon 7 (9) : e07933. ScholarBank@NUS Repository.
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Abstract: Inspired by the traceable analogies between protein sequences and music notes, protein music has been composed from amino acid sequences for popularizing science and sourcing melodies. Despite the continuous development of protein-to-music algorithms, the musicality of protein music lags far behind human music. Musicality may be enhanced by fine-tuned protein-to-music mapping to the features of a specific music style. We analyzed the features of a music style (Fantasy-Impromptu style), and used the quantized musical features to guide broad exploration of diverse amino acid properties (104 properties, sequence patterns and variations) for developing a novel protein-to-music algorithm of enhanced musicality. This algorithm was applied to 18 proteins of various biological functions. The derived music pieces consistently exhibited enhanced musicality with respect to existing protein music. Music style guided exploration of diverse amino acid properties enable protein music composition of enhanced musicality, which may be further developed and applied to a wider variety of music styles © 2021 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license
Source Title: Heliyon
ISSN: 2405-8440
DOI: 10.1016/j.heliyon.2021.e07933
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
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