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Proteins are the building blocks of life, but their dynamic nature – constantly changing shape to perform biological tasks – poses a challenge for current AI models like AlphaFold, which predict only static structures. PROFOUND aims to overcome this limitation by integrating large-scale molecular dynamics data to predict the dynamic behaviors of proteins. This approach could revolutionize the design of proteins that not only perform specific functions but also adapt and evolve over time.

By modeling proteins in motion, PROFOUND opens the door to designing dynamic enzymes and programmable molecular machines. The project is in close collaboration with domain experts and it is expected to lead to breakthroughs in smart therapeutics, sustainable materials, and next-generation biotechnologies.

Spokesperson

Holger Gohlke

Institute of Bio- and Geosciences, FZJ

Participating Centers