To test the algorithm, we applied it to 18 proteins that play a key role in various biological functions. In this case, we chose to analyze features of Chopin’s “Fantaisie-Impromptu” to guide our development of the program. These features allowed us to test out a greater range of notes in our protein-to-music mapping algorithm. Songs are usually homophonic, meaning they follow a central melody with accompaniment. Music from this period also tends to have lighter and more graceful and emotive melodies. This enhances musicality, or the melodiousness of the song, when converting amino acid properties, such as sequence patterns and variations, into analogous musical properties, like pitch, note lengths and chords.įor our study, we specifically selected 19th-century Romantic period classical piano music, which includes composers like Chopin and Schubert, as a guide because it typically spans a wide range of notes with more complex features such as chromaticism, like playing both white and black keys on a piano in order of pitch, and chords. Protein-to-music mapping can be fine-tuned by basing it on the features of a specific music style. Enhancing the musicality of protein mapping Protein-to-music algorithms can thus map the structural and physiochemical features of a string of amino acids onto the musical features of a string of notes. Likewise, music consists of sound waves of higher and lower pitches, with changing tempos and repeating motifs. Protein chains can also fold into wavy and curved patterns with ups, downs, turns and loops. LadyofHats/Wikimedia CommonsĪ protein chain can be represented as a string of these alphabetic letters, very much like a string of music notes in alphabetical notation. Aspects of potein structure can be analogous to musical notation.
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