Caption: This audio is oxytocin receptor protein music using the Fantasy Impromptu guided algorithm. Credit: Chen et al. / Heliyon
A September 29, 2021 news item on ScienceDaily describes new research into music as a means of communicating science,
In recent years, scientists have created music based on the structure of proteins as a creative way to better popularize science to the general public, but the resulting songs haven’t always been pleasant to the ear. In a study appearing September 29 [2021] in the journal Heliyon, researchers use the style of existing music genres to guide the structure of protein song to make it more musical. Using the style of Frédéric Chopin’s Fantaisie-Impromptu and other classical pieces as a guide, the researchers succeeded in converting proteins into song with greater musicality.
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Scientists (Peng Zhang, Postdoctoral Researcher in Computational Biology at The Rockefeller University, and Yuzong Chen, Professor of Pharmacy at National University of Singapore [NUS]) wrote a September 29, 2021 essay for The Conversation about their protein songs (Note: Links have been removed),
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There are many surprising analogies between proteins, the basic building blocks of life, and musical notation. These analogies can be used not only to help advance research, but also to make the complexity of proteins accessible to the public.
We’re computational biologists who believe that hearing the sound of life at the molecular level could help inspire people to learn more about biology and the computational sciences. While creating music based on proteins isn’t new, different musical styles and composition algorithms had yet to be explored. So we led a team of high school students and other scholars to figure out how to create classical music from proteins.
The musical analogies of proteins
Proteins are structured like folded chains. These chains are composed of small units of 20 possible amino acids, each labeled by a letter of the alphabet.
A protein chain can be represented as a string of these alphabetic letters, very much like a string of music notes in alphabetical notation.
Protein chains can also fold into wavy and curved patterns with ups, downs, turns and loops. Likewise, music consists of sound waves of higher and lower pitches, with changing tempos and repeating motifs.
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.
Enhancing the musicality of protein mapping
Protein-to-music mapping can be fine-tuned by basing it on the features of a specific music style. 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.
For 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. Music from this period also tends to have lighter and more graceful and emotive melodies. Songs are usually homophonic, meaning they follow a central melody with accompaniment. These features allowed us to test out a greater range of notes in our protein-to-music mapping algorithm. In this case, we chose to analyze features of Chopin’s “Fantaisie-Impromptu” to guide our development of the program.
If you have the time, I recommend reading the essay in its entirety and listening to the embedded audio files.
The September 29, 2021 Cell Press news release on EurekAlert repeats some of the same material but is worth reading on its own merits,
In recent years, scientists have created music based on the structure of proteins as a creative way to better popularize science to the general public, but the resulting songs haven’t always been pleasant to the ear. In a study appearing September 29 [2021] in the journal Heliyon, researchers use the style of existing music genres to guide the structure of protein song to make it more musical. Using the style of Frédéric Chopin’s Fantaisie-Impromptu and other classical pieces as a guide, the researchers succeeded in converting proteins into song with greater musicality.
Creating unique melodies from proteins is achieved by using a protein-to-music algorithm. This algorithm incorporates specific elements of proteins—like the size and position of amino acids—and maps them to various musical elements to create an auditory “blueprint” of the proteins’ structure.
“Existing protein music has mostly been designed by simple mapping of certain amino acid patterns to fundamental musical features such as pitches and note lengths, but they do not map well to more complex musical features such as rhythm and harmony,” says senior author Yu Zong Chen, a professor in the Department of Pharmacy at National University of Singapore. “By focusing on a music style, we can guide more complex mappings of combinations of amino acid patterns with various musical features.”
For their experiment, researchers analyzed the pitch, length, octaves, chords, dynamics, and main theme of four pieces from the mid-1800s Romantic era of classical music. These pieces, including Fantasie-Impromptu from Chopin and Wanderer Fantasy from Franz Schubert, were selected to represent the notable Fantasy-Impromptu genre that emerged during that time.
“We chose the specific music style of a Fantasy-Impromptu as it is characterized by freedom of expression, which we felt would complement how proteins regulate much of our bodily functions, including our moods,” says co-author Peng Zhang (@zhangpeng1202), a post-doctoral fellow at the Rockefeller University
Likewise, several of the proteins in the study were chosen for their similarities to the key attributes of the Fantasy-Impromptu style. Most of the 18 proteins tested regulate functions including human emotion, cognition, sensation, or performance which the authors say connect to the emotional and expressive of the genre.
Then, they mapped 104 structural, physicochemical, and binding amino acid properties of those proteins to the six musical features. “We screened the quantitative profile of each amino acid property against the quantized values of the different musical features to find the optimal mapped pairings. For example, we mapped the size of amino acid to note length, so that having a larger amino acid size corresponds to a shorter note length,” says Chen.
Across all the proteins tested, the researchers found that the musicality of the proteins was significantly improved. In particular, the protein receptor for oxytocin (OXTR) was judged to have one of the greatest increases in musicality when using the genre-guided algorithm, compared to an earlier version of the protein-to-music algorithm.
“The oxytocin receptor protein generated our favorite song,” says Zhang. “This protein sequence produced an identifiable main theme that repeats in rhythm throughout the piece, as well as some interesting motifs and patterns that recur independent of our algorithm. There were also some pleasant harmonic progressions; for example, many of the seventh chords naturally resolve.”
The authors do note, however, that while the guided algorithm increased the overall musicality of the protein songs, there is still much progress to be made before it resembles true human music.
“We believe a next step is to explore more music styles and more complex combinations of amino acid properties for enhanced musicality and novel music pieces. Another next step, a very important step, is to apply artificial intelligence to jointly learn complex amino acid properties and their combinations with respect to the features of various music styles for creating protein music of enhanced musicality,” says Chen.
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Research supported by the National Key R&D Program of China, the National Natural Science Foundation of China, and Singapore Academic Funds.
Here’s a link to and a citation for the paper,
Protein Music of Enhanced Musicality by Music Style Guided Exploration of Diverse Amino Acid Properties by Nicole WanNi Tay, Fanxi Liu, Chaoxin Wang, Hui Zhang, Peng Zhang, Yu Zong Chen. Heliyon, 2021 DOI: https:// doi.org/10.1016/j.heliyon.2021.e07933 Published; September 29, 2021
This paper appears to be open access.