EdHarris

7 ms·

1.
by EdHarris 9d ago
I’m not sure why people are getting so worked up about this. Ordering flowers for someone abroad can be surprisingly difficult. After staying with someone in the US, I tried to send them flowers as a thank-you once I was back in the UK. For
2.
by EdHarris 2y ago
Folding@home uses Rosetta, a physics-based approach that is outperformed by deep learning methods such as AlphaFold2/3.
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by EdHarris 2y ago
Yes, all data Google used was public. We have enough compute from YC (thanks YC!) to do this. The main thing is the technical infrastructure - processing the data, efficient loading at training time, proper benchmarking, etc. We are buildin
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by EdHarris 2y ago
Thanks!
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by EdHarris 2y ago
The predictions can be verified by comparing the predicted structure to the experimentally solved structure, either crystal or cryoEM. The model is still training and improving, we will release the benchmarking results after it's compl
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by EdHarris 2y ago
Amazing! What kind of things did you work on?
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by EdHarris 2y ago
Yes this is a good point. We are actively speaking with our counsel to check this. Thanks for flagging, though.
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by EdHarris 2y ago
OpenFold, which was AlphaFold2's open-source implementation was published in Nature Methods. We will prepare a similar publication once the model is more mature and when we have a nice set of experiments showing the model's intere
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by EdHarris 2y ago
We think enzymes are super cool! You can build molecular assembly lines at the atomic scale with them. Many pharmaceuticals are already manufactured with enzymes such as the diabetes drug Januvia. Engineering them is a big bottleneck though
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by EdHarris 2y ago
Our long term goal is to design enzymes for chemical manufacturing. We decided to build AlphaFold3 because we had seen how useful AlphaFold2 had been for the protein design field. No one else was building it fast enough for us, so we decide
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Show HN: An open-source implementation of AlphaFold3(github.com)
314 points by EdHarris 2y ago|37 comments