NGBS2022 Talk 11: Protein design using deep learning - David Baker

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  • Опубликовано: 25 окт 2024

Комментарии • 2

  • @critic1236
    @critic1236 2 года назад +1

    Fantastic work, but I still carry a profound ignorance on all this. For instance, all these protein structures look like complex fur balls. To me they seem to work in some mechanic realm, but even with all the stuctures figured out by cryo and xray, I get no intuition into how this all works. So your work gives me some hope. at the 23 mark you make a simple ring then mechanically change it to a different state with another peptide. My problem in understanding is how in the world this peptide finds the right spot to make this happen? Self alignment nevers happens to me when I cant find my keys. Is it possible to put flourescent tags as orientation markers on the peptide and the protein to see how in the world the alignment takes place. Does the peptide go right to spot like a squirrel finds nuts or does it bounce around endlessly until it luckily finds the proper place to bind? Thank you for your provocative work.

  • @michaelzlprime
    @michaelzlprime 2 года назад +1

    Wow, nano-tech at its finest.
    the future is bright indeed!