Exploring the Synergy of Scientific Data and Music: Multifaceted Approaches to the Sounds of Biological Active Compounds

Abstract Based on research herein presented, the authors propose an innovative approach to experiencing the intricate sounds of biologically active compounds like peptides and proteins. Unlike previous sonification attempts mapping sounds to amino acids, the researchers use the 13CNMR method to capture precise frequencies and relaxation times of individual amino acids and thus present original sound renditions. Two approaches are employed: viewing all carbon atoms collectively with simultaneous excitation and considering the threshold τzero as the starting point for each carbon atom’s frequency in Leu-enkephalin, a human hormone. Implementation involves software and methods such as TFMusic-A, Max/MSP, and IRE.