Levinthal's Paradox, Protein Folding and AlphaFold

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  • Опубликовано: 28 окт 2024

Комментарии • 23

  • @TheMeaningCode
    @TheMeaningCode 2 года назад +3

    This is excellent, thank you! Here visiting because of the shout out of your channel from Curt at TOE.

  • @druidjuicer636
    @druidjuicer636 2 года назад +5

    Great videos. Referred here by Curt at TOE and I'm glad I was. Thanks

  • @mazinnasralla2036
    @mazinnasralla2036 6 месяцев назад

    Excellent video. I wanted to know more about the Levinthal Paradox but the background detail is really excellent.

  • @innate-videos
    @innate-videos 3 года назад +3

    Great presentation, full of useful detail and very interesting, thank you.

  • @uzbek7144
    @uzbek7144 3 года назад +3

    cheers bro, that was explained well!

  • @Drifter4ever
    @Drifter4ever 9 месяцев назад +2

    If it's deterministic it's the biggest proof of life being designed ever.

  • @deeveevideos
    @deeveevideos Год назад +3

    It takes intelligence to understand intelligence

  • @cicinindivin3689
    @cicinindivin3689 2 года назад +1

    Demis's gonna win that gold Alfred

  • @davidhoang5839
    @davidhoang5839 2 года назад +1

    Nice! Your videos should be seen by more watchers. May I repost your channel without changing anything on the clean platform named Ganjing World? Thank you!

  • @jayakarjosephjohnson5662
    @jayakarjosephjohnson5662 3 года назад +2

    It’s a reflection of Time paradox that exists with particle scenario of universe. Thus, we claim that the fundamental matter is string like structure rather than particle and in that the atomic analogy may change from Bohr model.

    • @CVAVT
      @CVAVT 3 года назад +1

      so true

  • @vasilesambor7473
    @vasilesambor7473 6 месяцев назад +1

    I think it's an over statement that after 50 years, AI helped us "understand how proteins fold" and does it computationally. What it actually does, it looked into classified information specified by humans, (for eg. this is how a good protein of type x looks like and this is how a protein of type y should look like) and then it can predict based on what information it has (with a machine learning system), but I don't see how is this related to the paradox or with our understanding about how the protein formed in the first place...!? Am I missing something?

  • @madmoon3234
    @madmoon3234 3 года назад +7

    So are people still not sure how proteins fold?

    • @clf3200
      @clf3200 3 года назад +1

      scientists have basically figured it out but there are a few little things that would be nice to determine that would help solidify it

    • @djkostya76
      @djkostya76 11 месяцев назад +1

      Nope. They are sloganing .

  • @olafstorvik7945
    @olafstorvik7945 Год назад +1

    AI can now design antimicrobial proteins almost from scratch, it's amazing stuff.

    • @joso1195
      @joso1195 Год назад

      Amazing, but more so, it’s scary

    • @olafstorvik7945
      @olafstorvik7945 Год назад

      @@joso1195 Very true. We just have to somehow make sure to not create an AI that wants to kill us.

  • @djkostya76
    @djkostya76 11 месяцев назад +2

    They have no idea how to deal with Levinthal’s paradox, but they are completely sure that life has originated itself. Wow these claims sound over the top stupid. Richard , are you there?

  • @GelatoooBuzzz
    @GelatoooBuzzz Год назад +1

    Who’s here after Anton’s video?