@QuantaScienceChannel

Read the related article at: https://www.quantamagazine.org/how-ai-revolutionized-protein-science-but-didnt-end-it-20240626/

Related Papers:
- "Highly accurate protein structure prediction with AlphaFold" https://www.nature.com/articles/s41586-021-03819-2
- "De novo design of protein structure and function with RFdiffusion" https://www.nature.com/articles/s41586-023-06415-8
- "Generalized biomolecular modeling and design with RoseTTAFold All-Atom" https://www.science.org/doi/10.1126/science.adl2528
- "Accurate structure prediction of biomolecular interactions with AlphaFold 3" https://www.nature.com/articles/s41586-024-07487-w

ORRECTION: The protein shown at 01:07 labeled SEROTONIN is mislabeled, it is in fact "Crystal structure of serotonin 2A receptor in complex with serotonin" https://www.rcsb.org/structure/7WC4

@sabofx

Thank you Deepmind/Google for open sourcing (instead of privatizing) the resulting science 🥰

@DeML22G

I just can't get more surprised at the quality of these videos and the amount of quality information compressed here

@Mark_Williams.

Disappointed that the Folding@Home project wasn't mentioned in the early part of the video.

@djp1234

If you think about it, we are a bunch of proteins trying to learn how proteins work.

@AI-Life-123

The quality of your content is amazing! You’re a natural when it comes to explaining things, and your channel is truly a go-to for anyone looking to lear

@jeffmorrison5834

It still amazes me that quality content like this is free. Thanks!!!

@genomicmaths

I am really sorry, but the Protein Folding Code (PFC) is not solved yet. To predict the 3D protein structure of a protein using machine learning algorithm does not uncover the PFC, which essentially is a biophysical/biochemical problem. To solve the PDF means to unveil the set of biophysical/biochemical rules  that determine, given the aminoacid sequence, the 3D structure of the protein. That is, the title: "How AI Cracked the Protein Folding Code" is misleading. Nevertheless, the work predicting the  3D protein structure using machine learning is a meritorious work and worthy of a Nobel Prize, but please, do not mislead the public.

@TheYgds

After seeing and working with these tools since 2020, I remain flabbergasted. In undergrad, back in 2008, we were essentially told that until quantum computing was cracked the protein folding problem, much less the protein complex problem wouldn't be solved. While there are still outstanding questions and heights this technology could go on to tackle, it has gone far beyond what was even conceivable 10 years ago.

@NandkumarKamatGoa

Outstanding video for someone who taught bioinformatics and chemo informatics at Goa University and made post graduate students play a lot with Fold it game

@FriesOfTheDead

1:06 Serotonin is not a protein, it's a neurotransmitter, probably 10000 times smaller than the protein you have representing serotonin, how do you get that so wrong?

@oromhal

I feel extremely enthusiastic about the future prospects of applying this new knowledge. Maybe we will even learn about the origin of life and the ways a living organism can be created.

I would love to contribute and I hope I'll find a way to do it.

@TommyLikeTom

One of these guys, Demis Hassabis,  worked on several games from my childhood, including Theme Park and Black and white.

@QuantumNarayan

The most waited video. Also waiting for Physics, Medicine and economics. 

One of the best channels over the internet that puts real content and no species into it. Love from Nepal ❤

@panizzutti

For a wanna be researcher in Deep Learning and comp neurosciences these videos are the best! You explain everything so perfectly

@EsraBetul-q8r

Highly likely there will be partnerships between X or Tesla with Qarden Token

@chillappe

John Jumper is on another level. Used AI to do the interview.

@DanhNguyen-gy7yk

An absolutely wonderful video! Truly appreciated and respected!

@mcc-p6k

Nice video, Quanta Magazine! This kinda reminds me of the infographics show, but thats probably unrelated 😁

@nolikeygsomnipresence270

Wow, this really is the best explanation I've ever seen about proteins, what they are, how they're formed and what's the big deal about them. Thank you