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Not everyone is focused on solving folding. It's just one step of many. https://www.nature.com/articles/s41592-019-0666-6 https://www.nature.com/articles/s41592
by lucidrains 7y ago
Not everyone is focused on solving folding. It's just one step of many. https://www.nature.com/articles/s41592-019-0666-6 https://www.nature.com/articles/s41592-019-0666-6
https://github.com/yangkky/Machine-learning-for-proteins https://github.com/yangkky/Machine-learning-for-proteins
- irq11 7y agoI work in the field. There are indeed many different applications of ML to drug discovery, but AlphaFold is a niche technique, and protein structure prediction is not practically useful, in general.
- lucidrains 7y agoI see. My point is that all these efforts are really validating deep learning as an approach for solving previously intractable biophysics problems. Science is a series of stepping stones.
- irq11 7y agoYes, again, I work in the field. There are many areas where ML is being used to advance drug discovery and other kinds of practical, difficult biophysics problems. Casual readers would do well not to get too fixated on this particular area.
- lucidrains 7y agoYour expertise is acknowledged. We are in agreement
- irq11 7y agoHa...I wasn’t repeating it to make some kind of assertion of dominance, just to explain that I’m aware of the point you’re making, and that it’s related to, but different from my own.
- lucidrains 7y agoI see, no worries then :)