Protein folding remains a fundamental challenge in biochemistry, with significant implications for understanding cellular functions. Folding@home, a distributed computing project, harnesses the power of volunteer workstations to simulate protein structures. Recently, integration of a novel machine learning algorithm into Folding@home has dramatical