Kendrew Lecture 2021 pt2 - Highly accurate protein structure prediction with AlphaFold - John Jumper

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  • เผยแพร่เมื่อ 14 พ.ย. 2024

ความคิดเห็น • 9

  • @andrewschutte7270
    @andrewschutte7270 3 ปีที่แล้ว +3

    This is ridiculous! God bless your hearts. Thank you for your dedication to science and education 🙏 The only constant is change

    • @lolerie
      @lolerie 2 ปีที่แล้ว

      It is, yeah.

  • @polartownjunkie
    @polartownjunkie 3 ปีที่แล้ว

    the explainability efforts, in which you described 48 predictors at each layer, for each moment of training, love this idea

  • @batch303
    @batch303 ปีที่แล้ว

    This is cool. Although, there's not enough emphasized how the training is done. Particularly, what exactly AF2 learns from all that PDB structures that it consumes during the training stage? And all that 170M parameters in the system, what they are? Do they contain some representation of protein packing principles or what?

  • @gizachewdiga
    @gizachewdiga ปีที่แล้ว

    It is extremely nice illustration of protein structure. This lecuture provides us a good method for predicting protein struture in a wise manner. It provides a good model like alpha fold. Customer, most of us are familiar with Watsons -Crick helical folding Model. Compared these traditional models, this methods gives enables Highly accurate protein structure prediction with AlphaFold. Thanks!

  • @switchpointcokr
    @switchpointcokr 3 ปีที่แล้ว

    I am really looking forward to the next version of alpha fold. Thanks for great explanation!

  • @lolerie
    @lolerie 2 ปีที่แล้ว

    52:20 There is literally an example, where some guy got 1 chain out of 40 in pdb structure backwards, LOL! It was fixed using Alphafold.

  • @Sir_Ray_LegStrong_Bongabong
    @Sir_Ray_LegStrong_Bongabong ปีที่แล้ว

    can it re-configure a world?

  • @chishichishi8922
    @chishichishi8922 3 ปีที่แล้ว +3

    amzng. Perhaps the next project shoud be aging. Just a suggestion