It's interesting that there are almost no comments on this. This feels like some of the most exciting and impactful fields of the next years. I worked with a cracked researcher that was generating molecules a couple of years ago. She spent most of her time fighting cuda bugs and trying installing packages. I wonder if the ecosystem matured right now. There are people studying cells to see what enters and what exits and engineer how to stop, for example, resources feeding a bad cell. Possibilities feel endless. I am a little worried about side effects, since bio is way more chaotic than silicon, but hopefully AI will help with that level of chaos too.
mettamage 56 minutes ago [-]
Quite frankly, most people on HN are software devs with a wider interest in the world. HN’ers usually-ish comment when they have something insightful to sat, even if the insight is just a humble one.
But I dare to guess that most HN’ers did high school bio and that’s it, so it’s harder to even give a small thoughtful comment on it, so they refrain.
Case in point, I wouldn’t have commented either. But I feel at home here and notice some behavioral patterns. And compared to other fellow devs, I generally am more tuned to tune in on behavioral patterns because of having studied psychology.
But that’s just my take.
rguiscard 39 minutes ago [-]
A similar work is Foundry (https://github.com/RosettaCommons/foundry). While both of them are good, the main issue is that it is not accurate enough at atom level. There are good chances that predicted or designed active site is slightly different from the real structure solved by X-ray, NMR or cryo-electronic microscopy. A side-chain or two may turn the other way so that it changes how the interaction is interpreted. So the tools are good and convenient now. But the design or prediction is often hit-and-miss.
all this is part of the new AI for Science effort we are spinning up at Latent Space - all guidance and support would be greatly appreciated as this is a much harder domain to cover than software
Rendered at 09:45:46 GMT+0000 (Coordinated Universal Time) with Vercel.
But I dare to guess that most HN’ers did high school bio and that’s it, so it’s harder to even give a small thoughtful comment on it, so they refrain.
Case in point, I wouldn’t have commented either. But I feel at home here and notice some behavioral patterns. And compared to other fellow devs, I generally am more tuned to tune in on behavioral patterns because of having studied psychology.
But that’s just my take.
also 3 paper coauthors walked thru it with us: https://youtu.be/4g1bURdKN0Q
all this is part of the new AI for Science effort we are spinning up at Latent Space - all guidance and support would be greatly appreciated as this is a much harder domain to cover than software