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Description
Zhao Qin1 Markus Buehler1

1, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States

We developed a high-throughput method that enables to automatically compute the vibrational spectra of more than 100,000 proteins available in the Protein Data Bank in a consistent manner, and then use the resulting eigenvalue of the first 70 normal modes of protein to generate audible sound by overlaying the molecular vibrations in a desirable pattern and translating them to the audible frequency range. The method, implemented as a Max audio device, provides unparalleled insights into the rich vibrational signatures of protein structures, and offers new ways for creative musical expression by using it as a modern musical instrument, and serves as an interactive educational tool for broader outreach. This musical instrument, named Eigenprot, is fully defined by the vibrational feature of almost all known protein structures, making it fundamentally different from all the traditional instruments that are limited by the material properties of conventional engineering materials.

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