CymaSense

Liquified protein vibrations, classification and cross-paradigm de novo image generation using deep neural networks

“…This article focuses on a different perspective and reports a distinct, complementary and translational approach, in which we transform these molecular vibrations into vibrations of thin water films using acoustic actuators, leading to visual images of complex materialized patterns of surface waves. This approach follows the pioneering concept developed by Chladni [8] and is similar to the cymatics method [9][10][11][12][13][14], offers a distinct means to assess the molecular details of protein vibrations in the form of macroscopic vibrations visible to our eyes. In addition to potential applications in outreach, the physical manifestation of molecular vibrations at the macroscale provides a novel avenue to render sound visible, providing an alternative The first row represents relatively simple structures (added complexity from left (short alpha-helix) to right (more complex alpha-helical fold).…”

“…The lower row features more complex protein structures, including two spike proteins from coronaviruses (6vxx and 6vsb of COVID-19), as well as the COVID-19 spike protein bound (6m17) and unbound (6m18) to the human ACE2 receptor. method to conventional musical notation [11] and novel interactive approaches to interact with sound using senses other than our ears [15][16][17][18]. Moreover, the use of artificial intelligence provides an exciting avenue to classify, process and understand, or augment images generated by sound.…”