3 ms·

Does this win the Folding@home competition, or is/was that a different goal than what AlphaFold3 and ligo-/AlphaFold3 already solve for? Folding@Home https://e

• EdHarris 2y ago
  Folding@home uses Rosetta, a physics-based approach that is outperformed by deep learning methods such as AlphaFold2/3.
  • flobosg 2y ago
    Folding@home uses Rosetta only to generate initial conformations[1], but the actual simulation is based on Markov State Models. Note that there is another distributed computing project for Rosetta, Rosetta@home. [1]: https://foldingathome.org/dig-deeper/#:~:text=employing%20Rosetta%E2%80%99s%20Monte%20Carlo%20algorithm https://foldingathome.org/dig-deeper/#:~:text=employing%20Ro...
• flobosg 2y ago
  Folding@home and protein structure prediction methods such as AlphaFold address related but different questions. The former intends to describe the process of a protein undergoing folding over time, while the latter tries to determine the most stable conformation of a protein (the end result of folding).