4 ms·

Maybe run one of the large distributed computing projects like Folding@Home? https://foldingathome.org/ https://foldingathome.org/

oniony 3y ago
I thought Deep Mind had solved all of the folding we would ever need. Did some digging and the answer is "apparently not": https://foldingathome.org/2020/12/08/protein-folding-and-related-problems-remain-unsolved-despite-alphafolds-advance/?lng=en https://foldingathome.org/2020/12/08/protein-folding-and-rel...
- danpalmer 3y ago
  That article is from 2020, but it seems there has been a lot of progress since then – https://www.deepmind.com/research/highlighted-research/alphafold/timeline-of-a-breakthrough https://www.deepmind.com/research/highlighted-research/alpha.... I think this might now be a solved problem, or at least it's not clear that Folding@Home is going to be the next breakthrough.
  - rovr138 3y ago
    Well, if Folding@Home's project still exists, I'm going with Deep Mind is not working with them or there's still space to help.
    - danpalmer 3y ago
      Or Folding@Home is barely active enough to decide to stop, or they have a sunk cost fallacy... there are other options. While Folding@Home has some mindshare among techies of a certain age, I suspect it's no longer practical given the wide availability of much higher performance cloud computing, and I don't think it has ever been cost effective. I suspect it needs reevaluating in the modern era. The last time I was looking at the project at all seriously was in ~2006 I think.
      - rovr138 3y ago
        > Folding@home is one of the world's fastest computing systems. With heightened interest in the project as a result of the COVID-19 pandemic,[8] the system achieved a speed of approximately 1.22 exaflops by late March 2020 and reached 2.43 exaflops by April 12, 2020,[9] making it the world's first exaflop computing system. This level of performance from its large-scale computing network has allowed researchers to run computationally costly atomic-level simulations of protein folding thousands of times longer than formerly achieved. Since its launch on October 1, 2000, Folding@home was involved in the production of 226 scientific research papers.[10] Results from the project's simulations agree well with experiments.[11][12][13] Source, https://en.m.wikipedia.org/wiki/Folding@home https://en.m.wikipedia.org/wiki/Folding@home

oniony 3y ago

I thought Deep Mind had solved all of the folding we would ever need. Did some digging and the answer is "apparently not": https://foldingathome.org/2020/12/08/protein-folding-and-related-problems-remain-unsolved-despite-alphafolds-advance/?lng=en https://foldingathome.org/2020/12/08/protein-folding-and-rel...

danpalmer 3y ago
That article is from 2020, but it seems there has been a lot of progress since then – https://www.deepmind.com/research/highlighted-research/alphafold/timeline-of-a-breakthrough https://www.deepmind.com/research/highlighted-research/alpha.... I think this might now be a solved problem, or at least it's not clear that Folding@Home is going to be the next breakthrough.
- rovr138 3y ago
  Well, if Folding@Home's project still exists, I'm going with Deep Mind is not working with them or there's still space to help.
  - danpalmer 3y ago
    Or Folding@Home is barely active enough to decide to stop, or they have a sunk cost fallacy... there are other options. While Folding@Home has some mindshare among techies of a certain age, I suspect it's no longer practical given the wide availability of much higher performance cloud computing, and I don't think it has ever been cost effective. I suspect it needs reevaluating in the modern era. The last time I was looking at the project at all seriously was in ~2006 I think.
    - rovr138 3y ago
      > Folding@home is one of the world's fastest computing systems. With heightened interest in the project as a result of the COVID-19 pandemic,[8] the system achieved a speed of approximately 1.22 exaflops by late March 2020 and reached 2.43 exaflops by April 12, 2020,[9] making it the world's first exaflop computing system. This level of performance from its large-scale computing network has allowed researchers to run computationally costly atomic-level simulations of protein folding thousands of times longer than formerly achieved. Since its launch on October 1, 2000, Folding@home was involved in the production of 226 scientific research papers.[10] Results from the project's simulations agree well with experiments.[11][12][13] Source, https://en.m.wikipedia.org/wiki/Folding@home https://en.m.wikipedia.org/wiki/Folding@home