I could not find mentions of any Ukraine-based company working with them. Do you have more info?

Here's their take on it:

https://foldingathome.org/2024/05/02/alphafold-opens-new-opp...

I think you’re missing the main limiting resource: money.

Some of these projects could occupy entire regions of cloud compute in some cases for awhile, some even more depending on the problem. But running that for even a short time or decades needed would cost more money than anyone has to do.

Academic HPCs existed long before cloud compute options and for certain problem spaces could also be used even in non-distributed memory cases to handle this stuff. But you still needed allocation time and sometimes even funding to use them, competing against other cases like drug design, cancer research, nuclear testing… whatever. So searching for ET could be crowdsourced and the cost distributed which is something that made it alluring and tractable.

I used to run a small academic cluster that was underutilized but essentially fully paid for. I’d often put some of these projects running as background throttled processes outside scheduler space so the 90% of the time no one was using them, the hardware would at least be doing some useful scientific research since it’s after-all funded largely from federal scientific research funding. There was of course some bias introduced by which projects I chose to support whereas someone else may have made a more equitable choice.

Does it? I stopped doing @home projects because I started never finishing a unit for credit under BOINC.

This is extremely far from any of my expertises, but I'll offer an answer while no one else did (please correct me!). Basically, all medicine (i.e. drugs) we have are proteins or certain compounds that fit within some of our cell's (or viruses) molecules and does funny stuff to them, like disabling certain parts, acting as a signal to regulate behavior, and so on. Doing funny stuff is basically about fitting into another molecule. So research about how proteins (most molecules (after water) in our body, I guess) interact is incredibly important in basically all medicine, specially in the discovery of medicine (like suggesting compounds (drug) that could fit in certain receptors or perform certain function), and understanding disease/pathologies (which give ideas on how to prevent and treat them).

If folding@home helps to understand and model this behavior of molecules (which I guess tends to be difficult and unreliable to do without the aid of computers), it is extremely helpful. Now I don't know other details like, perhaps molecular biology is the bottleneck and there is scant available molecules to analyze (reducing its impact/marginal sensitivity), or perhaps compute really is a bottleneck in this particular problem. But nonetheless it seems like a great project for which contributions do make a difference.

(Note: although, that said, if you were expecting something like 'compute->miracle drug comes out', I believe that's not quite how it works; research in general rarely works that way, I think because the constraint space and problem space that would require this approach is too large and complicated; and in fact I believe many if not most significant discoveries have resulted from playing around and investigating random molecules, often from (nonhuman) animals, plants and bacteria[1]; although molecular sciences (molecular biology) seem to enable a slightly more methodological approach)

[1] The GLP-1 based weight loss drugs for example came from investigating the Gila monster lizard venom https://en.wikipedia.org/wiki/GLP-1_receptor_agonist#History

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