Request : Please also consider making an 30-40 min version documentary of this with some more details of protein folding and nuances. I have watched AlphaGo documentary over and over again(i'm sure many others would have) , and still gives me goosebumps.
Totally agree on this! Really would support both financially and with any other possible efforts and resources the documentary like that. This is a unique topic to be covered!
As a protein chemist and structural biologist, I truly am impressed and congratulations to the DeepMind / Alpha Fold team. This is a major advancement and if you are taking requests, please present a solution structure for apolipoproteins. Their lipid-free state has defied analysis for over 50 years and it would be terrific to have a validated base structure to build upon.
I don't understand the distinction between AlphaFold and Rosetta. I'm not a structural biologist but hasn't Rosetta already been doing computational protein structural prediction for years?
@@serenolopez-darwin1975 Structural prediction software like Rosetta have been instrumental in identifying structural domains and conformational states that were not anticipated and led to re-evaluation of data and a more clear idea of the shapes proteins may be adopting and how they may be doing their jobs. But no insult intended to the Rosetta software team but the algorithm(s) used don't necessarily result in a model or set of models that conform to reality. Often the more likely answer is what shape a molecule can adopt, not what conformation it does adopt. What Alphafold does is increases the "accuracy" of the estimated shape tremendously, although I predict that proteins with multiple conformational states or that are highly adaptive will still be elusive targets. A good example are lipoproteins.
@@neousagi Yes I assume that even with google's computing power, IDPs are just too intense to simulate unless MD gets really accurate really fast. Rosetta seems to work fairly well for de novo design though, if only of super-stable proteins. I know it has the issue of trending towards extreme energy favorability while natural proteins don't always, does AlphaFold predict less stable crystal structures accurately?
@@serenolopez-darwin1975 To address your question, first there are three basic areas of protein structural analysis: X-ray crystallographers, computational predictive analysts, and wet lab empirical analysts. Consistently these approaches yield different results for proteins with multiple or dynamic structures. The primary reason is that x-ray crystallography identifies the ground state or unit structure that is most prevalent near ground state. Software algorithms are designed to reproduce x-ray structures (as reported here for AlphaFold) and empirical analysis generally evaluates the native fold, which is not necessarily ground state. Viral fusion proteins are another good example of molecules whose native fold is not the same as their ground state fold. So often empirical data will not match X-ray or predictive analysis and therein lies a core debate in the field. Because X-ray and predictive analysis can display a protein's structure down to atomic level resolution in beautiful ribbon structures, they present convincing impressions of how molecules might fold. So the breakthrough with AlphaFold is not so much that they solved all structures but that they have created ground state prediction that is accurate enough to match crystallographic data. To my knowledge, this does not solve the gap between X-Ray crystallography and empirical data analysis (chief amongst them are the NMR, EPR, and spectrographic scientists).
@@neousagi Ah, I've revealed the depth of my ignorance here, I didn't realize that crystal structures are also always ground state (I'm a computational scientist specialized in genomics and so am entirely unfamiliar with the actual experimental methods of XRC). I always heard that conformation to crystal structure was the gold standard of structural prediction but didn't realize the high-stability problem extended even beyond computational analysis to XRC as well. Thanks for the clarification, maybe now I won't seem so dumb when I talk to the proteomics folks lol
"AI is technically an expantion of our capability to process and order information. So it would be unlikely that AI was unfamiliar to us." - Me (sorry forgot to mark the quote)
I have been waiting on the next bombshell from deepmind and oooooh boy did they ever deliver!! Being on the life science field myself I can appreciate how absolutely monumental this achievement is
Please, elaborate your answer as to possible utilization scenarios. If I may say it this way, if we have the biomedicine equivalent of a 3d printer and right materials, does this mean we can synthesize combative medicine on a need basis?
@@nNicok Agreed. Still.. his answer is so generic. On topic: would be useful for folding transmembrane proteins, that are hard to crystalize and solve the structure of by means of x-ray crystalography. If this can be used for that.
@@tensevo 1- Go watch the AlphaGo documentary. 2- Educate yourself on Google's "Deepmind" department 3- Come back to watch this. You'll have a bit more context.
speaking as someone who was in clinician scientist career, this is a remarkable work which holds the greatest potential for the future. thank you for your work and dedication towards development of human biology and beyond.
In everyones. AI is the next big industrial revolution. First came fossil fuels, and steam engine, mass production, computing, automatization, internet, then ai
@Billy Bob If you don't see any breakthrough here I highly recommend to read up on the impact of knowing protein structure and then to look into the CASP14 results of AlphaFold.
This is both incredibly amazing and unnerving. Deep learning has now demonstrated specialized super intelligence beyond rudimentary game theory... The box is being opened and who knows what applications will be developed/ are being developed outside of the public eye.
@DeepMind are you going to publish a second video to give a more detailed explanation of how the model is implemented and what kind of improvement did you implement to solve the protein fold problem?
@@Deez-Master, I am fully aware of that. I just wanted to emphasize that it would be great to see a proper paper review given by the authors (it would be like Einstein explaining general relativity). Obviously, I can do it by myself or wait for some TH-camrs to prepare one. Still, it would be much more interesting to see the authors describing their project emphasizing all the moments when they struggled and how they figured out the solution.
@Adam Dendek th-cam.com/video/B9PL__gVxLI/w-d-xo.html this is from Yannic Kilcher, he explains paper and many research in this area. Who explained quite in details the abstract from Alpha Fold. Fun fact one of the woman engineer u saw in the video, was an intern under him :P
as someone who has a deficiency which causes protein misfolding in the liver, i greatly appreciate contributions in science like this. and hope there will be more studies like this in the future to prevent diseases...unfortunately things like treatments and "cures" are really expensive but these are still incredible strides anyway!
Based off their actual data the folding problem isn't solved yet but they are damn close. If they keep on finding tricks (like they did with epistatitic data) to better teach the ML algorithms they will have this solved within a couple years. Keep up the good work.
@@taiebshahalizade9115 I agree, this company has clearly worked tirelessly over the past year to establish this revolutionary software. Making it open source straight away is a bit of a kick in the nuts, let them get their due share.
@@8joeb219 I imagine they're still refining it and once they're satisfied with its reliability and accuracy they'll commercialize it in some way. I doubt they'll release it for free after dumping so many resources into it. And if I'm being honest, I think they would be completely justified in charging a fee
I use AlphaFold for my biochemistry research! Amazing stuff, I used it to predict whether a mutation on a specific amino acid site would be possible on a beta-glucosidase enzyme and after weeks of work - the mutation actually expressed!
Folding at home will work even better now, they will hopefully create an AlphaFold package that you can run on your gpu for increased accuracy and speed compared to traditional methods.
Congratulations to the whole team at DeepMind. This is an incredible achievement. If you could also create an ai to predict the interactions between different structures, that would open up even more possibilities for custom protein design.
Most people have no idea of how big of a deal this is. Generative AI gets all the press right now, but protein folding has the ability to cure basically ALL diseases and even aging. For instance, AlphaFold 2 was used this year to come up with a potential drug for liver cancer in 30 DAYS, when it used to take years and cost billions. People would spend their entire Master's Degree on analyzing _one_ protein. A recently retired GP (sometimes, the view from the trenches is clearer, ironically) says he is absolutely stunned at what this can do. I don't know the timeline, but there are already other protein-folding programs that are 60 to 1 million (not a typo) times faster than AlphaFold 2.
The way the video is spliced together makes everything rather exciting; running around, standing in circles for group meetings, etc. In this group of seemingly very clever people, I find it remarkable to see 26-27 years of work crunched into 8 minutes.
@@CastaneaMa Even if they are they shouldn't be grouped together with people like twitch mods because they're actually geniuses who are contributing much to humanity.
You guys are so amazing and inspiring, thank you so much for the work you do for humanity. I really hope I can use AlphaFold to model different maternal transcription factors binding together on a segment of DNA for my research.
I studied Biochemistry in 2000, and macromolecules structure was one of the hardest subjects. Glad for this breakthrough finally arrived and looking forward to seeing real-life applicaitons and industry applied technologies soon.
This is huge on so many levels, that I have no words. It is a total game changer. Many people will be desperate as Kodak was when digital photography became mainstream
I once asked Deep Mind hypothetically about using their algorithms for Gene sequencing. But I forget they replied something like they couldn’t work with data they didn’t have access to and other good reasons. Had no idea they were working on this biology breakthrough... amazing
7:30 peep the dudes background reminds me of the bookshelf scene from interstellar, as if someone going to give him a morse code to asi through small movements of the books from other dimensions.
Remember learning about protein structures in school and asking exactly if we couldn't just figure it out from the base sequence since it was deterministic. Of course my teacher told me that would never be possible due to the complexity. Glad "never" just means a few decades in the scientific fields
Great job 👏🏼👏🏼👏🏼👏🏼 and congratulations to the Deep Mind team! Could y’all please please please make a full-length documentary feature on this epic saga like you did with AlphaGo? That would be bloody awesome! People please like this comment if you agree! 🙏🏼
They surely dumped millions and millions of $$$, time and dedication into this. You can't expect them to just give it away for free. This is not how the world works and they should reap the fruits of their labor.
Only yesterday I was reading a book about nanotechnology and authour has stated that predicting the protein folding is major problem and then today I saw this video.Solving this problem is going to open lot of opportunities in nanotechnology.
Where is that other bloke we saw during the go movie that was interviewed by Lex? I’m confused about the deep mind team. Definitely all amazing! Well done guys and girls.
It's great to see how technology is advancing science - especially in practical health care applications - fantastic job DeepMind team, hope soon see new unsolvable apps solved by AlphaX
Today solving protein folding problem has bring great advancement to humanity on agriculture,biofuel production,understanding of diseases,drug development . Feel cool and good to hear.
Congrats for the Nobel prize to the DeepMind staff, but we must acknowledge the other winner as well, David Baker, who provided an essential contributiion to protein folding with his model Rosetta.
If true, this could not only revolutionize molecular biology and make it more an engineering discipline, it could open up pathways to practical general purpose molecular machine design.
and they have seen nothing... this is just the very start.. imagine AI solving math problems by "playing" around with formula and structure. Lets do AlphaMath
![The moment we stopped understanding AI [AlexNet]](http://i.ytimg.com/vi/UZDiGooFs54/mqdefault.jpg)
Request : Please also consider making an 30-40 min version documentary of this with some more details of protein folding and nuances. I have watched AlphaGo documentary over and over again(i'm sure many others would have) , and still gives me goosebumps.
Totally agree on this! Really would support both financially and with any other possible efforts and resources the documentary like that. This is a unique topic to be covered!
I actually thought this was a teaser for something of this kind and was bitterly disappointed! The AlphaGo documentary is so damn good
I second this. Even willing to chip in if you are going crowd-funding.
Me too
Seconded!!
BREAKING NEWS: This won a Nobel Prize.
YES IT DID. And They've now collectively mapped over 200 million Amino Acid Chains!!!
@@exnomer5002how much data/storage does that consume?
I wish this was longer with all the details!
I’m hoping they do a full documentary like they did with alpha go
@@1231legomaniac Same!
I wish it had any details. It began with telling us that protein are important and never exceeded that low level of information.
as a molecular biology major this is sick
It has a full length docu now called The Thinking Game. Not released yet but I watched a screening at a film festival
As a protein chemist and structural biologist, I truly am impressed and congratulations to the DeepMind / Alpha Fold team. This is a major advancement and if you are taking requests, please present a solution structure for apolipoproteins. Their lipid-free state has defied analysis for over 50 years and it would be terrific to have a validated base structure to build upon.
I don't understand the distinction between AlphaFold and Rosetta. I'm not a structural biologist but hasn't Rosetta already been doing computational protein structural prediction for years?
@@serenolopez-darwin1975 Structural prediction software like Rosetta have been instrumental in identifying structural domains and conformational states that were not anticipated and led to re-evaluation of data and a more clear idea of the shapes proteins may be adopting and how they may be doing their jobs. But no insult intended to the Rosetta software team but the algorithm(s) used don't necessarily result in a model or set of models that conform to reality. Often the more likely answer is what shape a molecule can adopt, not what conformation it does adopt. What Alphafold does is increases the "accuracy" of the estimated shape tremendously, although I predict that proteins with multiple conformational states or that are highly adaptive will still be elusive targets. A good example are lipoproteins.
@@neousagi Yes I assume that even with google's computing power, IDPs are just too intense to simulate unless MD gets really accurate really fast. Rosetta seems to work fairly well for de novo design though, if only of super-stable proteins. I know it has the issue of trending towards extreme energy favorability while natural proteins don't always, does AlphaFold predict less stable crystal structures accurately?
@@serenolopez-darwin1975 To address your question, first there are three basic areas of protein structural analysis: X-ray crystallographers, computational predictive analysts, and wet lab empirical analysts. Consistently these approaches yield different results for proteins with multiple or dynamic structures. The primary reason is that x-ray crystallography identifies the ground state or unit structure that is most prevalent near ground state. Software algorithms are designed to reproduce x-ray structures (as reported here for AlphaFold) and empirical analysis generally evaluates the native fold, which is not necessarily ground state. Viral fusion proteins are another good example of molecules whose native fold is not the same as their ground state fold. So often empirical data will not match X-ray or predictive analysis and therein lies a core debate in the field. Because X-ray and predictive analysis can display a protein's structure down to atomic level resolution in beautiful ribbon structures, they present convincing impressions of how molecules might fold. So the breakthrough with AlphaFold is not so much that they solved all structures but that they have created ground state prediction that is accurate enough to match crystallographic data. To my knowledge, this does not solve the gap between X-Ray crystallography and empirical data analysis (chief amongst them are the NMR, EPR, and spectrographic scientists).
@@neousagi Ah, I've revealed the depth of my ignorance here, I didn't realize that crystal structures are also always ground state (I'm a computational scientist specialized in genomics and so am entirely unfamiliar with the actual experimental methods of XRC). I always heard that conformation to crystal structure was the gold standard of structural prediction but didn't realize the high-stability problem extended even beyond computational analysis to XRC as well. Thanks for the clarification, maybe now I won't seem so dumb when I talk to the proteomics folks lol
"The only thing I find more amazing than the rate of progress in AI is the rate in which we get accustomed to it" - Ilya Sutskever
Another aspect which to me, is worrying. If we can not see the incoming train as a threat how to avoid any dangers concerning it?
not a good quote
@@mcmurphy188 Not a good criticism ;) Tell us why and we can discuss it
"the AI effect", look it up.
"AI is technically an expantion of our capability to process and order information. So it would be unlikely that AI was unfamiliar to us."
- Me
(sorry forgot to mark the quote)
Absolutely huge... props to developers. Look forward to history in the making.
Huge? That’s what she said
I have been waiting on the next bombshell from deepmind and oooooh boy did they ever deliver!! Being on the life science field myself I can appreciate how absolutely monumental this achievement is
Please, elaborate your answer as to possible utilization scenarios. If I may say it this way, if we have the biomedicine equivalent of a 3d printer and right materials, does this mean we can synthesize combative medicine on a need basis?
04:01 Demis: "We need to double down and go as fast as possible from here"
04:04 Pushmeet: sprinting through the lobby, here I come bossss
Jokes aside
i question your being in the life science field @DeezMaster seeing what youtube channels you've subscribed to
@@mehulgoel5875 Pretty idiotic comment btw. How does the selection of people he watches affect his career? The height of petty.
@@nNicok Agreed. Still.. his answer is so generic. On topic: would be useful for folding transmembrane proteins, that are hard to crystalize and solve the structure of by means of x-ray crystalography. If this can be used for that.
4:04 coder starts running... NOW IT'S GETTING SERIOUS 😱😱😱
britches on fire. must find water
He's gonna merge to master! After him!
Bad food.
For every technological revolution, there's an Indian or a Chinese Guy...
I love great scientific achievements. The few people who recognize them in this world applauded your life long efforts!
:-D That comment makes you even more stupid than the people in this movie!
@@0Amaretto0 I bet you wouldn't say that to their face now, would you, coward?
@@158-i6z Hm? Why wouldnt i? Its the truth. I am known for spitting the truth.
you know we all want a 48min to 1h30 documentary with slow motions, drone shots and epic music
No mate, I just want to know what they are talking about.
@@tensevo 1- Go watch the AlphaGo documentary. 2- Educate yourself on Google's "Deepmind" department 3- Come back to watch this. You'll have a bit more context.
Please make the background music louder, I can still kind of hear what the people are saying.
You would think that Google has the budget for good video editing, but I guess they spent it all on AI... :P
Is this sarcasm?
Maybe you have some high frequency hearing loss.
@@AgingsAProblemFPS No sheldon, it's not.
@@joannot6706 hey man, let the AI learn
speaking as someone who was in clinician scientist career, this is a remarkable work which holds the greatest potential for the future. thank you for your work and dedication towards development of human biology and beyond.
Congratulations to the Deep Mind team for solving this previously unresolved problem! Fantastic work.
I wish they could try to improve alpha zero-chess so it can defeat stockfish 16-chess in a 1000 game match
Congratulations to Deepmind and the Alphafold team, for winning the Nobel Prize!
I hope you create a longer documentary about Alphafold now :)
Congratulations and thank you to the DeepMind team for pushing science forward!
I'm 21 years old, and this is without a doubt one of the biggest scientific advancements in my lifetime
It is and Im so happy to read a comment acknowledging this!
I know right..
Yesterday GPT-3, now its AlphaFold2
KEEP YOUR FOOT ON THE PEDAL
In everyones. AI is the next big industrial revolution. First came fossil fuels, and steam engine, mass production, computing, automatization, internet, then ai
@Billy Bob If you don't see any breakthrough here I highly recommend to read up on the impact of knowing protein structure and then to look into the CASP14 results of AlphaFold.
A paradigm shifting moment in our lifetime. Congratulations to all DeepMind team!
Indeed, "What will be the next surprise?" is the chief motivator of life. Curiosity and discovery. Excellent work.
This is both incredibly amazing and unnerving. Deep learning has now demonstrated specialized super intelligence beyond rudimentary game theory... The box is being opened and who knows what applications will be developed/ are being developed outside of the public eye.
@DeepMind are you going to publish a second video to give a more detailed explanation of how the model is implemented and what kind of improvement did you implement to solve the protein fold problem?
The still have yet to publish their paper on it, give them some time I guess
@@Deez-Master, I am fully aware of that. I just wanted to emphasize that it would be great to see a proper paper review given by the authors (it would be like Einstein explaining general relativity). Obviously, I can do it by myself or wait for some TH-camrs to prepare one. Still, it would be much more interesting to see the authors describing their project emphasizing all the moments when they struggled and how they figured out the solution.
@Adam Dendek
th-cam.com/video/B9PL__gVxLI/w-d-xo.html
this is from Yannic Kilcher, he explains paper and many research in this area. Who explained quite in details the abstract from Alpha Fold.
Fun fact one of the woman engineer u saw in the video, was an intern under him :P
I think it is a graph nn based transformer
@@asifdomo500 fun fact: "woman engineers" are called engineers
04:01 Demis: "We need to double down and go as fast as possible from here"
04:04 Pushmeet: sprinting through the lobby, here I come bossss
Jokes aside
FOLDING AT HOME TEAMS HAVE LEFT CHAT
What a triumph! Congratulations to everyone involved, and humanity thanks you for your efforts.
I don't know why but i feel so happy for them.
Congratulations! Your achievement really brought me to tears of deep joy!
This video gave me goosebumps. Kudos to amazing work, documentation of the journey and music. I wish they make a full documentary like AlphaGo.
Fantastic and inspiring work. There are handful of people who are genuinely changing the world for the better and I believe you guys are one of them!
Thank you for your service guys. The world appreciates it
Congratulations to everyone in the team, that's a significant milestone
Hop - Deep Learning
Skip - Nanotechnology
Jump - Singularity
then we will find another problem to bound after. unless the singularity kills us.
But all of these techniques are symbiotic : you can’t have quantum computers without jumps in nano fabrication techniques etc
@@philosophyman
Singularity doesn't mean we have no challenges left.
But it does mean we can have more and better choices.
let's goooooooooooooooooooooooooooooooooooo
as someone who has a deficiency which causes protein misfolding in the liver, i greatly appreciate contributions in science like this. and hope there will be more studies like this in the future to prevent diseases...unfortunately things like treatments and "cures" are really expensive but these are still incredible strides anyway!
I haven't a clue what these geeks are talking about but the music sounds like they've are solving a massive problem. Good luck geeks.
Good luck pac man
These are nerds, not geeks.
Congrats to the team for doing really complex and difficult work.
Based off their actual data the folding problem isn't solved yet but they are damn close. If they keep on finding tricks (like they did with epistatitic data) to better teach the ML algorithms they will have this solved within a couple years. Keep up the good work.
make sense
Since then, a number of other protein-folding programs have made their debut. They are all faster. AlphaFold 2.3.2 is currently the most up-to-date.
This is mind-blowing, inspiring! What a time to be alive.
Deepmind: Humanity, we discovered how the proteins fold up!
Humanity: 240K views
.
pull, vibrate...virbrate.. bend..bend.. automode..hmm..ok, it's spaghetti . .
@@8joeb219
i installed foldit a few times
also with the corona viral protein code
but.. it was .. limited
partly locked .. why?
@@taiebshahalizade9115 I agree, this company has clearly worked tirelessly over the past year to establish this revolutionary software. Making it open source straight away is a bit of a kick in the nuts, let them get their due share.
@@8joeb219 Yeah, Imagine pushing this to github
@@8joeb219 I imagine they're still refining it and once they're satisfied with its reliability and accuracy they'll commercialize it in some way. I doubt they'll release it for free after dumping so many resources into it. And if I'm being honest, I think they would be completely justified in charging a fee
I am so excited for this team and for the world of Biology. You did it, you changed our understanding of predicting protein structures,.
I use AlphaFold for my biochemistry research! Amazing stuff, I used it to predict whether a mutation on a specific amino acid site would be possible on a beta-glucosidase enzyme and after weeks of work - the mutation actually expressed!
Really?? How did you get access to alphafold? I want to deduce a structure, where do I submit?
Congratulations. I can imagine the feeling of success after 14 years. All the best
FOLDING AT HOME TEAMS HAVE LEFT CHAT
Folding at home will work even better now, they will hopefully create an AlphaFold package that you can run on your gpu for increased accuracy and speed compared to traditional methods.
they also likely help make the training data for this Ai's formula is basically (training data) + GPU = Magic.
@@default2826 hopefully!
@@default2826 that would be amazing.
@@default2826 If the price drops sufficiently, the complexity of Folding@home may not be worth it.
Awsome! Deepmind, you did a really incredible job ever! I respect you, and look forward the next steps of you!
Congratulations to the whole team at DeepMind. This is an incredible achievement. If you could also create an ai to predict the interactions between different structures, that would open up even more possibilities for custom protein design.
Archievment??? :-D IS that a joke? They made up a an idea and needed 50 years to solve their OWN IDEA!!! This couldnt be more funny stupidity... :-D
@@0Amaretto0 what have you achieved in your life little man? What knowledge did you give to humankind?
@@0Amaretto0 you know you’re being a piece of hot fuming garbage who thinks he’s a genius.
@@aedaldaniel I AM life. And i give the highest knowledge that could ever be recieved. But what has it to do with the topic?
@@0Amaretto0 that explains it your knowledge can be received and understood by worms because you produce worm knowledge. Congrats 🎉
Most people have no idea of how big of a deal this is. Generative AI gets all the press right now, but protein folding has the ability to cure basically ALL diseases and even aging. For instance, AlphaFold 2 was used this year to come up with a potential drug for liver cancer in 30 DAYS, when it used to take years and cost billions. People would spend their entire Master's Degree on analyzing _one_ protein.
A recently retired GP (sometimes, the view from the trenches is clearer, ironically) says he is absolutely stunned at what this can do.
I don't know the timeline, but there are already other protein-folding programs that are 60 to 1 million (not a typo) times faster than AlphaFold 2.
Those crescendo cellos in the background hit me. Almost shed a tear. Then the Email response happend at 6:50
The way the video is spliced together makes everything rather exciting; running around, standing in circles for group meetings, etc. In this group of seemingly very clever people, I find it remarkable to see 26-27 years of work crunched into 8 minutes.
I also still have very little idea what CASP is and how AI relates to protein folding.
@@TheComicChild by statically manipulating we can predict through patterns, how they move, why they move etc.
The machine of the world runs to power endeavours such as this. I hope you all know how important you are to humanity as a whole.
it's amazing how many consistent breakthroughs deepmind is making!
How exactly does Google brain fit into all of this. What do they do
"the DeepMind team presents its approach on 1 December"
Where did you find this o.o
@@zeronothinghere9334 From the nature article
It is today where is it !!! Hype
www.nature.com/articles/d41586-020-03348-4
i think I've seen you on cf?!
Congratulations for winning the Nobel prize.
Never has a group of people looked more like how I'd imagined they would, if I'd only been given their job descriptions.
LMAO so trueee
I hope they are not incels
@@sapitron some of them might sadly be
@@CastaneaMa Even if they are they shouldn't be grouped together with people like twitch mods because they're actually geniuses who are contributing much to humanity.
So what??? You should be very grateful that such people exist...so we all can have a better life!
I was weeping while I heard the news. This IS a game changer!
Maravilha. Estou amando poder acompanhar a pesquisa de vocês. Muito obrigada! 😀👍🏻
Hats off again from a long time StarCraft fan. This time you’re saving the world!
You guys are so amazing and inspiring, thank you so much for the work you do for humanity. I really hope I can use AlphaFold to model different maternal transcription factors binding together on a segment of DNA for my research.
I studied Biochemistry in 2000, and macromolecules structure was one of the hardest subjects. Glad for this breakthrough finally arrived and looking forward to seeing real-life applicaitons and industry applied technologies soon.
What a time to be alive!
*two minute paper intensifies*
This is huge on so many levels, that I have no words. It is a total game changer. Many people will be desperate as Kodak was when digital photography became mainstream
I swear this group of people emits intelligence.
I would give everything to spend one week with them and just listen and observe.
I once asked Deep Mind hypothetically about using their algorithms for Gene sequencing. But I forget they replied something like they couldn’t work with data they didn’t have access to and other good reasons. Had no idea they were working on this biology breakthrough... amazing
Why does it sound like Interstellar Docking Scene ?
Because it is on that level
Y do I hear boss music?
7:30 peep the dudes background reminds me of the bookshelf scene from interstellar, as if someone going to give him a morse code to asi through small movements of the books from other dimensions.
the level of these animations is outstanding
As an aspiring Biochemist I am excited to see the final result!!!!!.... It just makes science even more exciting
Please, a round of applause for the 46 people that believe coronavirus isn't real. Great work, PLEASE keep working on this😍
Congratulations. You solved the static problem. Now we need to find out how the proteins work and move, the dynamics.
Remember learning about protein structures in school and asking exactly if we couldn't just figure it out from the base sequence since it was deterministic. Of course my teacher told me that would never be possible due to the complexity. Glad "never" just means a few decades in the scientific fields
Congratulation ! Looking forward to a longer video/blog/talk with some more details for us non casuals. ;) Thanks !
Towards the end of this event, the competing teams just completely folded.
you could say they were pro team folding. I'll get my coat.
@@ClayMann That kind of humor works for me. :-)
i guess you've got to know when to hold em, and when to fold em
Incredible work, congratulations! Hoping for a full documentation like AlphaGo!
Great job 👏🏼👏🏼👏🏼👏🏼 and congratulations to the Deep Mind team! Could y’all please please please make a full-length documentary feature on this epic saga like you did with AlphaGo? That would be bloody awesome! People please like this comment if you agree! 🙏🏼
I made a stylegan2 image set from protein images earlier this year, so cool to see deepmind doing the real thing! Congratulations :)
I don’t believe you.
Imagine they can make 2D Waifu based on Virtual Protein.
The important questions in life
I need 10's of these
Maybe in 50 or 60 years in the future.
It's ALL about the chart at 7:26. Amazing!
Making DeepMind open-source will be revolutionary for us biologists/biotechnologists.. so please do so.
They surely dumped millions and millions of $$$, time and dedication into this. You can't expect them to just give it away for free. This is not how the world works and they should reap the fruits of their labor.
@@StevenKger I'm sorry. In that case I hope that everybody profits from it as well as possible.
This is absolutely incredible, well done to everyone involved!!
Congratulations to the whole team,
Shoutout to Sardarji,
Love and respects from India.
Pls, nominate for the Noble Prize, this work deserves it!
1:03 That Marriages band shirt!🤘
Only yesterday I was reading a book about nanotechnology and authour has stated that predicting the protein folding is major problem and then today I saw this video.Solving this problem is going to open lot of opportunities in nanotechnology.
Damn, this made me emotional and proud for our kind...
Structural biologists, computational biologists or computer scientists?
@@subhrodeepsaha9245 Humankind.
@@Shadowbladekokotil Was so caught up in the science that I didn't realize something so obviouse 😅😅😅
How stupid of me 😂
Amazing stuff, we know when Demis say we have gone AGI we are in a knew world in the making.
When we all work together amazing things happen
Where is that other bloke we saw during the go movie that was interviewed by Lex? I’m confused about the deep mind team. Definitely all amazing! Well done guys and girls.
Hi there, I work at the MailOnline, can we use your video in our player with a credit back to you? many thanks, Phil
Hi Philip - sure, usage with credit is fine! Thanks
It's great to see how technology is advancing science - especially in practical health care applications - fantastic job DeepMind team, hope soon see new unsolvable apps solved by AlphaX
I hope y'all be joining my "How to make Simon rich af" science competition this year?
@Grandfather_Din_Racket Yeah i am quite a stochsatic benchmark but that‘s where the fun starts
This is actually the true story of how Google was founded
an open source AI that is a stock traders best friend is right around the corner (within 2 years)
Today solving protein folding problem has bring great advancement to humanity on agriculture,biofuel production,understanding of diseases,drug development . Feel cool and good to hear.
Awe inspiring! Thank you for working so hard for man kind. A little more fuel to finish writing my PhD...
Demis and his team could end up with a very well deserved Nobel Prize.
The "next surprise" is the Paperclip Accumulator scenario.
Outstanding! Excited about the future of treatments I can offer to my patients
Hyy Deep Mind.. Great going
But just wanted to let you know that ur logo looks like Doordarshan 😆😍
That's great work... congratulations Team AlphaFold.
Introducing the 2024 Nobel Prize winner.
Please God, let there be more documentaries on this... Alpha Go documentary was amazing!
The fact that this video doesn't have 7 billion views is the reason why I cry myself to sleep at night.
Congrats for the Nobel prize to the DeepMind staff, but we must acknowledge the other winner as well, David Baker, who provided an essential contributiion to protein folding with his model Rosetta.
That's it i'm quitting my biology degree and going over to software engineering, i've been fascinated with computers for so long
just watch 2 days before！Congratulations！
Was this ahead or behind Ray Kurzweil’s predicted schedule?
If true, this could not only revolutionize molecular biology and make it more an engineering discipline, it could open up pathways to practical general purpose molecular machine design.
And they thought it was just about chess & go :)
and they have seen nothing... this is just the very start.. imagine AI solving math problems by "playing" around with formula and structure. Lets do AlphaMath
@@Alexander-dt2eq you do not need an AI for this...