How does a protein sound like: Converting amino acid sequences into music, and back

We have developed a system that translates amino acid sequences into musical notes, reflecting the specific characteristics of those sequences. Unlike most other methods of converting amino acid sequences into musical compositions, our approach enables the same algorithm to be used for converting musical passages back into proteins without relying on their nucleotide sequence encoding. This is accomplished through the use of a doublet degenerate code to encode musical notes, chords, and pauses. As a result, one can select from several dozen options to create an amino acid sequence with specified properties. We focused on making it possible to judge the general features of the "sounding" polypeptide based on the melody. Our model was tested on several proteins, including the ribosomal protein S6 and its phosphomimetic variant, which illustrates the process of protein phosphorylation in music. We also analyzed the prion protein and its mutated variant associated with a neurodegenerative disorder to musically depict the consequences of mutations, as well as insulin to demonstrate the model's ability to encode polyphonic music. As a contrasting example, we translated Mozart's piece "Rondo alla Turca" into a protein sequence. Our novel protein-to-music algorithm aims to make the properties of individual amino acids and the structural features of polypeptides more accessible to the general public, including children and visually impaired individuals. We believe that our study will also help to elucidate the functional significance of protein phosphorylation and mutations at the molecular level.