Nazim Bouatta | Machine learning for protein structure prediction, Part 2: AlphaFold2 architecture

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  • Опубликовано: 26 ноя 2024

Комментарии • 9

  • @EviLPlayeR04
    @EviLPlayeR04 Месяц назад +2

    Explains nature’s paper very well and efficiently, thanks!

  • @maxbailey9164
    @maxbailey9164 Год назад +7

    Best lecture on alpha fold 2’s architecture I’ve seen so glad it’s publicly available, currently doing biochem and Pharma at Cambridge and the closest I’ve come to anything like this is small talk in supervisions

  • @aren6
    @aren6 4 месяца назад +1

    What a brilliant explanation wow. The way he explains the most complex functions possible in the most easily understandable ways is amazing.

  • @JAM-ub3qy
    @JAM-ub3qy 11 месяцев назад +1

    Good lecture, especially on clarifying pairing, pair alignment, and pair representation.

  • @NhungLương-e7p
    @NhungLương-e7p 5 месяцев назад +1

    Thank you, Nazim Bouatta.

  • @Jaeoh.woof765
    @Jaeoh.woof765 11 месяцев назад

    20:00 Evoformer

  • @maben-h8b
    @maben-h8b Год назад

    want the slides

  • @maxbailey9164
    @maxbailey9164 Год назад +4

    Bro giving the intro really said mmhmmgmdmgmffffmgntfh

  • @xinyaoyin2238
    @xinyaoyin2238 20 дней назад

    the structure database search sounds like a cheat, this is like training you to cook pizza but you can also look at how others do it in real time