[mhrmsn]

Also no commercial use, from the paper:

> AlphaFold 3 will be available as a non-commercial usage only server at https://www.alphafoldserver.com, with restrictions on allowed ligands and covalent modifications. Pseudocode describing the algorithms is available in the Supplementary Information. Code is not provided.

[moralestapia]

How easy/hard would be for the scientific community to come up with an "OpenFold" model which is pretty much AF3 but fully open source and without restrictions in it?

I can image training will be expensive, but I don't think it will be at a GPT-4 level of expensive.

[dekhn]

already did it, https://openfold.io/ https://github.com/aqlaboratory/openfold https://www.biorxiv.org/content/10.1101/2022.11.20.517210v1 https://lupoglaz.github.io/OpenFold2/ https://www.biospace.com/article/releases/openfold-biotech-a...

I really have to emphasize that transformers have literally transformed science in only a few years. Truly extraordinary.

[obmelvin]

If you need to submit to their server, I don't know who would use it for commercial reasons anyway. Most biotech startups and pharma companies are very careful about entering sequences into online tools like this.

[pantalaimon]

What's the point in that that - I mean who does non-commercial drug research?

[karencarits]

Public universities?

[sangnoir]

Academia

[p3opl3]

Yes, because that's going to stop competitors.. it's why they didn't release code I guess.

This is yet another large part of a biotech related Gutenberg moment.

[natechols]

The DeepMind team was essentially forced to publish and release an earlier iteration of AlphaFold after the Rosetta team effectively duplicated their work and published a paper about it in Science. Meanwhile, the Rosetta team just published a similar work about co-folding ligands and proteins in Science a few weeks ago. These are hardly the only teams working in this space - I would expect progress to be very fast in the next few years.