Literally just mainlining marketing material straight into whatever’s left of their rotting brains.
this post was submitted on 23 Nov 2023
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Kinda, but like cool ML is alphafold/esm/mpnn/finite elements optimizers for cad/qcd/quantum chemistry (coming soon(tm)). LLMs/diffusion models are ways of multiplying content, fucking up email jobs and static media creators/presumably dynamic ones as well in the future.
I doubt people are aware that rn biologists are close to making designer proteins on like home pc and soon you can wage designer biological warfare for 500k and a small lab. Or conversely, making drugs for any protein-function related disease.
Please elaborate in as much detail as possible, ideally with numerous hyperlinks. (I'm less surprised by this than you might think, but would greatly appreciate being clued into what's going on in this arena right now, as I've been largely cut off from information about it for years now.)
https://www.science.org/doi/10.1126/science.add2187
https://www.nature.com/articles/s41586-023-06415-8
https://www.sciencedirect.com/science/article/abs/pii/S1476927122000445
Basically you can (right now) fix protein part from one protein and hallucinate/design protein backbone backwards from it, using something like 4090, and that protein with high probability will fold as predicted. As an example fig. 3 in 2, shows you can design origami-like structures, which is not useful but very impressive, considering how long protein folding was dogshit despite compute power thrown into it.
Taking alphafold structures you can make proteins binding to other proteins, even without knowing nothing else, have appreciable expectation (>1 %) it will work. Which is how you can make designer viruses, if you were so inclined.
Drugs for now is not solved via neural networks, but they are working towards it, and i don't see a reason why design of structures binding to known protein structures won't work, it seems if anything else easier.
Awesome, thanks!