The obvious favourites: - Drug development - Plastic recycling But I want to see cheap enzymes for common industrial processes, so we can upcycle plant waste or change the properties of construction timber without nasty chemicals.
@@vlazurenko What I'm advocating is a non-authoritarian and fully transparent approach where decisions are made together, based on scientific expertise, so as to maximize access within Earth's carrying capacity, ensuring that everyone's needs are met. Resources are allocated based on desirability and availability in the most fair and sensible way possible via dedicated open-source algorithms. Again, no police is required, only comprehensive rehabilitation.
@@vlazurenko Crime, dominance and abhorrent are nothing but symptoms of unmet needs. and existing criminals can actually be resensitized. We need no prisons, judges and laws. Hunter-gatherers had none of those after all, not even money and they thrive for 300k years peacefully by sharing everything, until agriculture created dense populations where scarcity prevailed and forced people to compete. That said, we're naturally wired to collaborate, not compete.
Me too. Not even close to being in that field. But. We all are made of biology. Advances in it are amazing, and this may be huge? Can't say i understand but it sounds like it.
It's crazy seeing that the majority of time I spent on my multi-year Bioinformatics PhD ca. 10 years ago to get to good protein structure predictions is today basically available at the press of a button. That's so wild and seems almost unreal despite me working with AI professionally every day, but that does isolate me from this feeling at all
Don't worry - it wasn't meaningless - I am much closer now to those two fields than you probably are and its my opinion that each every single paper that was published in the past will only help push this idea further ahead (and I mean it literally as well) - All this progress is indeed literally standing on top of the shoulders of past researchers, after all evolution (of anything) at its core is very minute incremental updates.
@@flightevolution8132 Sheesh, tone it down. The phd was COMPLETED about 10 years ago, it didn't last 10 years. And you have no idea who this person is, so please give him/her a pass.
It's not but we are getting closer. Ninety percent sounds good but that's a lot of error in a complex non-linear system. Morever, we need to a model of dynamical protein behaviour. Proteins are not static elements, they are a dynamic structure, continuously forming different configurations. What this model is attempting to solve is the most stable configuration or lower-energy configuration. Proteins exist in a distribution of configurations that can be modulated intermolecular interactions and the bonding of other molecules to the protein.
I don't know what "For seven of the targets, between 9% and 88% of the designs tested in the wet lab were experimentally verified as successful binders" means and I can't find the source. 9 - 88% seems quite a range, and this begs the question what happened with the designs for the other targets.
they had seven targets, and made multiple binders for all seven. One of the targets had a 88% success rate (which was the highest of the seven). The lowest success rate was 9%, and the last 5 targets had a success in the range of 10%-40%. But yeah, 9% to 88% is quite a range, but that's very usual for synthetic biology research.
Go to the paper (in the video description) and look at Table 1 (use Ctrl+F to find it if needed). The columns are the eight target proteins that success was tested for. In each row, you have the success rate for some source of designs (AlphaProteo first, followed by RFDiffusion, followed by other computational design methods) followed in brackets by the number of designs tested from that source. Of the eight target proteins, in the eighth column, no successful binders were found for the target protein, although the authors didn't find any successful designs to compare to. In other columns, the success rate for the remaining seven proteins varied from 9-88% for different target proteins. Although 9% is not much, the table shows the success rate for designs from other sources (excluding RFDiffusion) for that target protein was only up to 0.07% from 14,982 tested designs. 'Success' is defined as a design that exhibited 'measured binding' with the target protein, so it doesn't always mean the design was particularly effective; the second part of the table shows the 'binding affinity', showing how effective the designs were when they were successful (compared to the most effective existing computational design in the bottom row). As in the video, for the second part of the table, a lower score is better.
Prion diseases are among the scariest things out there. I hope work like this goes some way to finding treatments if not making conditions like CJD, Parkinson's or FFI a thing of the past.
Prion disease is misfolded proteins, these people are playing with fire and profit will make them bring to market something that will make them feel like gods and we will learn the harsh way that they are not.
That's exactly what I want: a protein that binds to misfolded molecules that can repair their shape or something like that. That would be a cure for my mother's Parkinson (or at least, it would stop its progression).
Incredible potential here to design new classes of proteo-antibiotics, -proteins to inhibit or kill specific bacteria, all without targeting the good bacteria or off target side-effects. Also, the same technology could be used for rapid diagnostics of microbes, - both viral and bacterial, possibly even down to the strain level. Congrats to the team at DeepMind! It is hard to overstate the impact of this monumental effort.
You mean openai should put off public releases until they've done the proper research and made sure their products work and are safe and beneficial? Unpopular opinion there mate.
@@bfyrth This is generative AI. It generates proteins that can bind to other proteins. Deep learning and generative AI are not mutually exclusive, indeed I believe all generative AI uses deep learning.
Keep in mind that everything must always be experimentally verified and tested. However, the more tools we have, the better. Perhaps one day designing a custom protein will be as simple as designing a DNA primer for PCR. We really need protein dynamics with covalent modifcations as well. Much of the interesting stuff happens via regulatory mechanisms like activing some protein binding site or blocking it, for example. It would be nice to predict the effects of protein modifications, especially if we get to the point where we can run these affinity calculations against an entire proteom at once. Biology is moving towards Star Trek, one step at a time. I can't wait to design entire regulatory systems and have a company just ship the required components to you!
That's why this is so important - *everything* must be experimentally verified and tested. So if we can generated much better guesses to test, that testing will be far far more fruitful. Testing is so expensive and acts as an effective block to research in most areas because our guesses are bad yet take weeks to months to years to discover that they're useless. Getting that success rate up is of paramount importance.
I generally treat DeepMind stuff with a grain of salt. If you remember that AI that found "100,000 new compounds for scientists!" scientists tried them out and it turns out the vast majority of them were utterly useless. Google also has a history of faking numbers or demoes (the gemini demo). Given this, and the basically non-answer of "well the success rate is between 9 and 80%" (???????) I put very very very little hope in this being some huge breakthrough. A great starting point definitely, but it doesn't completely revolutionize the field.
I have been suffering from multiple sclerosis for 22 years, since I was 21 years old, which is more than half of my life. I always hope for solutions to this disease, but now I am in a wheelchair. It feels like I am a prisoner in my own body. I want to enjoy my life without suffering for so long. Can you please find a cure for these diseases?
Trying to edit the post but it doesn't let me. I meant to make it more clear that the search engine. bioenergetic life. is what it goes by. That is the literal name for this search engine
And once you patent them for the good of humanity, who will spend the several billion dollars developing that open-source protein into a usable drug, getting it through expensive clinical trials, then marketing it and withstanding class-action suits from ambulance chasers, all so someone else can come along and copy their homework and there's not a damn thing they can do about it?
Seeing how it all works in practice, it will be a battle of big pharma with patent trolls. Patent trolls will patent random molecules and then not even produce them, waiting for somebody to use that molecule so they can sue them and make their money. For big pharma it will be easier to gain monopoly, because now when they work on a target, they will discover all the other possible drugs for that target and patent them, and then inflate the price many orders of magnitude for one product that they make. I'm a huge pessimist when it comes to the current system. Really, currently, the only way to have affordable drugs is to order synth of them yourself from China through a gray market. And sometimes that's the only way, due to patents and regulations, and those molecules simply not being available.
@@utkuaYes, they will use other people's work to discover new drugs, then patent them, and then use money gained from the monopoly to lobby even more regulation to make those drugs even more unaccessible so they can maintain their monopoly. That is currently how it works, and I don't see anything that can change that.
I would first use it to perfect enzymes that could replace opioid pain killers and adhd stimulants with more effective versions, much longer duration, but without those massive side-effects Next I would try to find out can they be used to neutralize auto-immune disease anti-body attacks in a more contained and effective manner. Then I'd try to find out why some organ donors reject some organs so aggressively, while others it tolerates. And see if we could a) match people with organs they won't reject b) possibly learn to inhibit only that rejection, without requiring broad range immuno-suppressors that can be extremely dangerous by themselves
Thatll mean we will miss out on all of the money for cancer, thats a huge amount, if a cure would exist we would miss out on all that money, its better for society for there not to be a cure
This is a significant development that should be widely reported in the mainstream media, but it is not. This means that humanity is one step closer to eliminating diseases for good. However, pharmaceutical companies will find ways to delay progress and then profit from it.
That's because mainstream media is just corporate PR. You shouldn't expect to hear accurate reporting on scientific matters unless it is tied to a consumer product or favored political party's talking points. The only reason the news reports on medical advances is because they are paid to do so by the companies that sell those technologies (e.g. the Bill and Melinda Gates Foundation pays news companies like CNN and PBS to report on pharmaceuticals that the foundation develops through its own subsidiaries).
Alpha fold family is one of my favorite papers. It saves so many time and effort with medical creation. It is literally became silent revolution, that can be used widely, not just shine beautiful.
I am currently in a lab as an undergraduate that works on the applications of these AI designed binders and seeing this makes me super happy as even with the previous processes we are able to get some fantastic results. I am going to have to read the paper for some more of the details as I would like to see if there are any downsides to this new process, but it still looks like a massive leap forward.
Interesting, but 7 out of 8 tests being between 9-88% successful sounds very much like random results to me. Maybe fairly accurate in specific cases but overall not as impressive as you make it sound.
...but why are we promoting tools like this that are not open-source and not reproducible science? The same thing goes for AlphaFold3. (I'm all for companies being able to have commercial products, but let's stop giving them papers in top science journals and acting like this is anything but an advertisement.)
This is a problem so complex that I've never thought I would have seen such a rapid development in my lifetime! I hope it could change completely how we approach the development of new drugs and treatments. And honestly, it's moments like this that remind me to be grateful of the time I live in. 🙏
Is this an actual scientific advance? No ''this isnt quite proven yet but it shows promise''. Just an actual solved thing?!??! Holy shit i thought we stoppe doing those, YESSSSSSSSS
I want to thank you for your positive videos, with an optimistic approach all throughout! I am excited to experience the future of technology alongside you Dr. Karoly Zsolnai-Feher. ( had to search up how to spell the name :D )
Been hearing of Deepmind science-domain breakthroughs for five years now and no practical application follow ups. They really need to market practical successes as well to showcase the amazing work
Google don't market anything quickly. Google had LLMs around the same time OpenAI did (see Palm models), but it took OpenAI marketing the technology as ChatGPT for them to wake up and then release Bard/Gemini.
DeepMind's AlphaProteo AI is hailed as a major breakthrough for humanity, offering revolutionary insights into protein structures and biological processes. This advancement promises significant improvements in drug discovery and understanding complex diseases.
To all those hesitant about what 9 to 88% success rate means, it changes your screening effort from thousands or hundreds of thousands of candidates to like 100 and years to a bunch of months, even one month could be enough if you ask. It reduces the discovery cost to like 0.1 to 1% of the original cost. Clinical trials should remain the same, it takes years and are expensive, but manufacturing of proteins instead of fancy small molecules is more scalable and easier to distribuye in CDMO's. As well, protein risk assesment is relatively easier than that of small molecules.
At least a part of that future will (should) reach most of us for free. It must be a right... To health, To education, To improve, With AI. It must not be only for the rich in developed countries. *We can't let that happen* .
Mind-blowing video! 🧠💡 AI's greatest promise? Cracking the code on major diseases and unlocking human biology. So grateful for this potential health revolution. Here's to a future where AI helps us all live longer, healthier lives! 🌟 #AIforHealth
I've been working in laboratory sciences and studying ML for years, and I have been waiting for this moment. This tool, and later iterations of it, will allow us to produce designer proteins that adhere to receptors on viruses and prions blocking them from connecting with human cells. As we use this tool and then confirm the predictions through experimentation, we will build larger datasets to train the next iteration on.
And people think Google is behind on AI for some reason. Waymo and DeepMind are the two most successful real world AI projects in existence, both Alphabet companies.
@@cslearn3044 you're right, your 90 year old grandma in the dementia ward will be getting it first decades before you know it she will be evolved far past anything you could ever imagine...
This is the stuff that makes Science Fiction a reality. Combine this with Orbital Materials and i get dizzy and need to sit down. I personally can't wait for the mapping the new material 'spaces' and learn insights in reliability, toxicity, environmentally friendly and so on. On the bio side a streamlined series of AI's to detect, design and prepare samples and jump straight into another series of AI's to optimize testing. I bet we can shave off weeks for any need to get something to entire population levels. Exciting times indeed
What I would use it for: 1. Make an enzyme that dissolves artery plaque 2. Make a protein that kills any cell around it, but that only activates in the presence of other proteins emitted by cancerous cells.
At the dusk of space era in the 60s humanity was expecting to to have a colonies on another planets by the end of 20th century and many other crazy ambitious plans. Most these plans remained unfulfilled, and seam naive as we progressed in technologies and realized how challenging and expensive it is. Something similar is waiting for us with all this hype about immortality by 2049 and so on.
AI safety must be built into the solution. This is the technology that can identify proteins affecting only a specific Person, a specific genetic Group, or a specific Race. The results could not be more detrimental if misused.
Do not forget that this can be used in the opposite direction. The moral and moral level of the ruling "elites" makes us think first of all about this and about contacts with military departments.
There’s almost no infectious disease that this doesn’t in principle cure, as well as many other applications both in the body and out. If deployed and incorporated properly, one could imagine this technology eventually evolving into the basis of a super-charged immune system for society. It will also give us fine grained control over antigen-expressing matter in general, which is basically everything organic.
i remember i heard that the protein structures can be seen by very complicated methods but it cost soo much money just to get one protein structure and then see if it can help to certain cases that be able to have a very good approximation using computers is so fucking awesome as it can lead to analyze structures and then see if can be used in certain scenarios without trial and error that cost millions and millions of dollars without even know if will help.
There may be a lot of serious diseases that won’t be solved by a single protein or drug, there could be some that will. And it will increase our knowledge base that will help bring some of the more difficult diseases within range of a cure further down the road.
I think AlphaFold and now AlphaProteo will be looked back on in the future, the same way we now look at the invention of fire. i have said it before, but Giving this for free is the very Pinnacle of Humanity's capability of co-operation. Just so purely the best we can ever be as Species, solve a problem and make the solution available to everyone everywhere no questions asked.
They're not really giving this away for free. It's difficult to use and integrate with their services and they haven't shared the methods. This is good publicity but that's it.
@@evokanivo yes, i agree but, you'd at least know that they have to be responsible for their technology, and that they want to enable all the good use cases and restricting access for potential threat actors to exploit.
great! finally we can simulate using propability all the possible proteins and what they do! who needs alien worlds proteins now eh? well maybe those never had proteins 😅
I wonder if a similar technology could be used to run prebiotic chemistry simulations? Not in an attempt to replicate certain conditions (like volcanic vents), but just to find out if it could find feasible paths to construct things out of simple organic molecules (like amino acids, nucleotides, and lipids).
There's only one recently I think didn't do its research literally at all involving VR (but that's because that's my field perhaps). I don't know how accurate it is on other topics, but it does have good presentation.
I definitely want to see some enzymes for large scale CO2 refining, and carbon nano-structure assembly. Just think, designer nanotube graphene transistors assembled by Enzymes and Proteins. Atmospheric CO2 capture going through a series of bubblers with the enzyme solution that rips out the carbon to make an isolated carbon powder, letting the oxygen float to the surface. It wouldn't be that simple, of course, but the concept is the same.
even tho i dont understand how do they go from the computer version to actually creating a useful protein in the lab this sounds as groundbreaking as when DNA human sequence was finally "decoded"
Current concesso seems to be we'll reach longevity escape velocity. (TLDR: Cure for aging) by the early 2030s. At the speed we're going, that's beginning to seem conservative.
Color me skeptical. Even if we manage to cure Alzheimers, there'll just be another roadblock that comes after it that we just haven't observed consistently enough to know it's a problem yet. And it won't be worth having anyway if it just means the wealthy live forever while the poor die young. That's just straight dystopia material.
My #1 target: new non-virilizing (masculizing) anabolics to prevent age-related muscle wasting (sarcopenia). The target is 100% clear, and this addresses a huge healthcare cost driver. Falls are also one of the most frequent causes of death in yhe elderly.
Is it even possible to develop drugs that cure all diseases and illnesses and work better than current drugs and completely eliminates all side effects??
yeah, agreed, but we must have a degree of skepticism in this type of technology which is AI. and so, we need to make this technology more efficient and reduce the time and cost further to classify it as a breakthrough. don't get me wrong, this technology is incredibly transformative in the long term, we just have to wait more, until then we can't get disappointed in this technology if it doesn't meet our high standards needs in all of domain, because we understand this technology, their limitation, their benefits, and how to minimize or reduce or removing the limitation completely, but that will require some sort of architecture breakthrough/algorithmic breakthrough, and we don't know when that happens because the future is inherently unknown. so, let's cherish this achievement, no matter how small it is.
Saying this is free because they published a paper is kinda like saying skyscrapers are free because you can buy books on engineering and build one yourself.
Imagine we solve cell senescence this century and that gives the current generation just enough runway to solve telomere shortening by the next century. We'd be living forever at this rate.
Great-but safety against bespoke bio weapons even more critical. We need to implement international licenses to do AI biology with dynamic passwords at the chip level immediately. And, ligand and nucleic acid providers must know their customers and be able to alert authorities of suspiscions and red flag laws instituted at labs so collegues can check and audit suspicious activity ASAP.
1:40 Including, like, cures for diseases and pretty much all toxins produced by animals/plants (though many of these are more complex than a single protein, it's a big step)
The obvious favourites:
- Drug development
- Plastic recycling
But I want to see cheap enzymes for common industrial processes, so we can upcycle plant waste or change the properties of construction timber without nasty chemicals.
And bioweaponry of course. As long as we keep living by trade and competition instead of sharing and collaboration, we're doomed
In the meantime, pharmaceutical companies will find ways to delay progress and then profit from it
@@ziad_jkhan average collectivization / famine / secret police enjoyer detected
@@vlazurenko What I'm advocating is a non-authoritarian and fully transparent approach where decisions are made together, based on scientific expertise, so as to maximize access within Earth's carrying capacity, ensuring that everyone's needs are met. Resources are allocated based on desirability and availability in the most fair and sensible way possible via dedicated open-source algorithms. Again, no police is required, only comprehensive rehabilitation.
@@vlazurenko Crime, dominance and abhorrent are nothing but symptoms of unmet needs. and existing criminals can actually be resensitized. We need no prisons, judges and laws. Hunter-gatherers had none of those after all, not even money and they thrive for 300k years peacefully by sharing everything, until agriculture created dense populations where scarcity prevailed and forced people to compete. That said, we're naturally wired to collaborate, not compete.
I am not in biology, and I think I don't need to be in biology to appreciate this kind of work.
Me too. Not even close to being in that field. But. We all are made of biology. Advances in it are amazing, and this may be huge? Can't say i understand but it sounds like it.
@@ristopoho824 Sounds like they previously targeted a rat with a bomb, now they can target with a sniper rifle. Or navigating by stars vs GPS.
It's crazy seeing that the majority of time I spent on my multi-year Bioinformatics PhD ca. 10 years ago to get to good protein structure predictions is today basically available at the press of a button. That's so wild and seems almost unreal despite me working with AI professionally every day, but that does isolate me from this feeling at all
Don't worry - it wasn't meaningless - I am much closer now to those two fields than you probably are and its my opinion that each every single paper that was published in the past will only help push this idea further ahead (and I mean it literally as well) - All this progress is indeed literally standing on top of the shoulders of past researchers, after all evolution (of anything) at its core is very minute incremental updates.
@@Winter_playsReally? You think you’re closer than the literal 10 year phd? Get over yourself man.
@@flightevolution8132 Sheesh, tone it down. The phd was COMPLETED about 10 years ago, it didn't last 10 years. And you have no idea who this person is, so please give him/her a pass.
@@flightevolution8132 he didn't say he is a 10 year PhD, but that he spent years on his PhD 10 years ago.
@@flightevolution8132He could also be a PhD.
> protein folding is now a solved problem
Never thought I'd hear those words in my lifetime.
90% solved, lol.
Yeah he said “mostly”
Kinda scary really, it could be used to weaponize prions in the wrong hands
It's not but we are getting closer. Ninety percent sounds good but that's a lot of error in a complex non-linear system. Morever, we need to a model of dynamical protein behaviour. Proteins are not static elements, they are a dynamic structure, continuously forming different configurations. What this model is attempting to solve is the most stable configuration or lower-energy configuration. Proteins exist in a distribution of configurations that can be modulated intermolecular interactions and the bonding of other molecules to the protein.
you mean protein misfolding* ?
I don't know what "For seven of the targets, between 9% and 88% of the designs tested in the wet lab were experimentally verified as successful binders" means and I can't find the source. 9 - 88% seems quite a range, and this begs the question what happened with the designs for the other targets.
2:36
I take this to mean that the ratio of successful designs varies depending on the target, which seems reasonable, some targets are harder than others.
they had seven targets, and made multiple binders for all seven. One of the targets had a 88% success rate (which was the highest of the seven). The lowest success rate was 9%, and the last 5 targets had a success in the range of 10%-40%. But yeah, 9% to 88% is quite a range, but that's very usual for synthetic biology research.
@@arunkumar_ra that's theoretically, those numbers don't necessarily reflect the experimental ones
Go to the paper (in the video description) and look at Table 1 (use Ctrl+F to find it if needed). The columns are the eight target proteins that success was tested for. In each row, you have the success rate for some source of designs (AlphaProteo first, followed by RFDiffusion, followed by other computational design methods) followed in brackets by the number of designs tested from that source. Of the eight target proteins, in the eighth column, no successful binders were found for the target protein, although the authors didn't find any successful designs to compare to. In other columns, the success rate for the remaining seven proteins varied from 9-88% for different target proteins. Although 9% is not much, the table shows the success rate for designs from other sources (excluding RFDiffusion) for that target protein was only up to 0.07% from 14,982 tested designs. 'Success' is defined as a design that exhibited 'measured binding' with the target protein, so it doesn't always mean the design was particularly effective; the second part of the table shows the 'binding affinity', showing how effective the designs were when they were successful (compared to the most effective existing computational design in the bottom row). As in the video, for the second part of the table, a lower score is better.
Prion diseases are among the scariest things out there. I hope work like this goes some way to finding treatments if not making conditions like CJD, Parkinson's or FFI a thing of the past.
Prion disease is misfolded proteins, these people are playing with fire and profit will make them bring to market something that will make them feel like gods and we will learn the harsh way that they are not.
That's exactly what I want: a protein that binds to misfolded molecules that can repair their shape or something like that. That would be a cure for my mother's Parkinson (or at least, it would stop its progression).
This is basically the same problem that occurs in Alzheimer's and Parkinson's diseases too.
I assume FFI doesn't stand for foreign function interface. What does it stand for?
@@lionelt.9124 Fatal Familial Insomnia.
Incredible potential here to design new classes of proteo-antibiotics,
-proteins to inhibit or kill specific bacteria, all without targeting the good bacteria or off target side-effects.
Also, the same technology could be used for rapid diagnostics of microbes, - both viral and bacterial,
possibly even down to the strain level.
Congrats to the team at DeepMind! It is hard to overstate the impact of this monumental effort.
DeepMind is what OpenAi should be
You mean openai should put off public releases until they've done the proper research and made sure their products work and are safe and beneficial?
Unpopular opinion there mate.
People already start to believe that LLMs have intelligence and need to be treated well lol.
Very appreciated, Openai!
@@alansmithee419 Maybe an unpopular opinion, but most likely a commercially infeasible one.
two very different AI technologies, 'deep learning' vs 'generative ai'
@@bfyrth
This is generative AI. It generates proteins that can bind to other proteins.
Deep learning and generative AI are not mutually exclusive, indeed I believe all generative AI uses deep learning.
Keep in mind that everything must always be experimentally verified and tested. However, the more tools we have, the better. Perhaps one day designing a custom protein will be as simple as designing a DNA primer for PCR. We really need protein dynamics with covalent modifcations as well. Much of the interesting stuff happens via regulatory mechanisms like activing some protein binding site or blocking it, for example.
It would be nice to predict the effects of protein modifications, especially if we get to the point where we can run these affinity calculations against an entire proteom at once. Biology is moving towards Star Trek, one step at a time. I can't wait to design entire regulatory systems and have a company just ship the required components to you!
That's why this is so important - *everything* must be experimentally verified and tested. So if we can generated much better guesses to test, that testing will be far far more fruitful. Testing is so expensive and acts as an effective block to research in most areas because our guesses are bad yet take weeks to months to years to discover that they're useless. Getting that success rate up is of paramount importance.
I generally treat DeepMind stuff with a grain of salt. If you remember that AI that found "100,000 new compounds for scientists!" scientists tried them out and it turns out the vast majority of them were utterly useless. Google also has a history of faking numbers or demoes (the gemini demo). Given this, and the basically non-answer of "well the success rate is between 9 and 80%" (???????) I put very very very little hope in this being some huge breakthrough. A great starting point definitely, but it doesn't completely revolutionize the field.
thanks to deepmind for changing the way biotech is done
This is incredible! This will save countless lives
I have been suffering from multiple sclerosis for 22 years, since I was 21 years old, which is more than half of my life. I always hope for solutions to this disease, but now I am in a wheelchair. It feels like I am a prisoner in my own body. I want to enjoy my life without suffering for so long. Can you please find a cure for these diseases?
May I ask what kind of treatments have you tried so far?
@@mmcmmc999 almost all available
Please pleaae please consider a carnivore diet, i guess you dont have alot to lose. Look up dr ken berry and anthony chaffee. Please try it
It feels like when I search on bioenergetic life there are some useful bits of info. It is a Raymond Peat search engine for many topics
Trying to edit the post but it doesn't let me. I meant to make it more clear that the search engine. bioenergetic life. is what it goes by. That is the literal name for this search engine
So now the race is on to spam the AI, find as many binders as possible and then patent them for the good of humanity, instead of for private Corp.
Most of the world does not care about patents, patents only slow down the progress in the country they are filed in these days.
And once you patent them for the good of humanity, who will spend the several billion dollars developing that open-source protein into a usable drug, getting it through expensive clinical trials, then marketing it and withstanding class-action suits from ambulance chasers, all so someone else can come along and copy their homework and there's not a damn thing they can do about it?
@@RickinICT They are using other people's work and public funding to make those research. You can bet they are using open source software as well.
Seeing how it all works in practice, it will be a battle of big pharma with patent trolls. Patent trolls will patent random molecules and then not even produce them, waiting for somebody to use that molecule so they can sue them and make their money. For big pharma it will be easier to gain monopoly, because now when they work on a target, they will discover all the other possible drugs for that target and patent them, and then inflate the price many orders of magnitude for one product that they make.
I'm a huge pessimist when it comes to the current system. Really, currently, the only way to have affordable drugs is to order synth of them yourself from China through a gray market. And sometimes that's the only way, due to patents and regulations, and those molecules simply not being available.
@@utkuaYes, they will use other people's work to discover new drugs, then patent them, and then use money gained from the monopoly to lobby even more regulation to make those drugs even more unaccessible so they can maintain their monopoly. That is currently how it works, and I don't see anything that can change that.
I guess I'm smart enough to know I'm stupid
That's the first step towards progress.
Weird place to be stuck in but relatable.
I would first use it to perfect enzymes that could replace opioid pain killers and adhd stimulants with more effective versions, much longer duration, but without those massive side-effects
Next I would try to find out can they be used to neutralize auto-immune disease anti-body attacks in a more contained and effective manner. Then I'd try to find out why some organ donors reject some organs so aggressively, while others it tolerates. And see if we could a) match people with organs they won't reject b) possibly learn to inhibit only that rejection, without requiring broad range immuno-suppressors that can be extremely dangerous by themselves
If this leads to a cure for cancer I’m all for it
As long as you are ok with it 😅
Cancer is 200 problems in a trenchcoat.
Ever seen the “hitler cures cancer” video on TH-cam?
There isn't gonna be cure mate, you know how much money they would loose if there was a cure??
Thatll mean we will miss out on all of the money for cancer, thats a huge amount, if a cure would exist we would miss out on all that money, its better for society for there not to be a cure
Come on hurry up AI! Aging is horrible We need to fix it already.
This is a significant development that should be widely reported in the mainstream media, but it is not. This means that humanity is one step closer to eliminating diseases for good.
However, pharmaceutical companies will find ways to delay progress and then profit from it.
Why cure diseases when you can profit from them?
It's not reported because it's not commercialized. The GPT technology existed for years and wasn't reported on until OpenAI marketed it as ChatGPT.
That's because mainstream media is just corporate PR. You shouldn't expect to hear accurate reporting on scientific matters unless it is tied to a consumer product or favored political party's talking points. The only reason the news reports on medical advances is because they are paid to do so by the companies that sell those technologies (e.g. the Bill and Melinda Gates Foundation pays news companies like CNN and PBS to report on pharmaceuticals that the foundation develops through its own subsidiaries).
Alpha fold family is one of my favorite papers. It saves so many time and effort with medical creation.
It is literally became silent revolution, that can be used widely, not just shine beautiful.
I am currently in a lab as an undergraduate that works on the applications of these AI designed binders and seeing this makes me super happy as even with the previous processes we are able to get some fantastic results.
I am going to have to read the paper for some more of the details as I would like to see if there are any downsides to this new process, but it still looks like a massive leap forward.
Interesting, but 7 out of 8 tests being between 9-88% successful sounds very much like random results to me. Maybe fairly accurate in specific cases but overall not as impressive as you make it sound.
Thank you to Google, Google Deepmind and everyone involved in this for sharing this freely to the world!
I would use it to heal Ankylosing Spondylitis … to make my wife feel better 5:12
...but why are we promoting tools like this that are not open-source and not reproducible science? The same thing goes for AlphaFold3. (I'm all for companies being able to have commercial products, but let's stop giving them papers in top science journals and acting like this is anything but an advertisement.)
0:58 protein folding is still not a "solved" problem
Long COVID, nowadays. I'm literally emotionally crying for that. Thanx for sharing !!
This thing will be able to generate a ton of bioweapons at the press of a button. Neat.
What a time to be alive!
Engineered bioweapon dystopia here we come lol
This is a problem so complex that I've never thought I would have seen such a rapid development in my lifetime!
I hope it could change completely how we approach the development of new drugs and treatments.
And honestly, it's moments like this that remind me to be grateful of the time I live in. 🙏
Is this an actual scientific advance? No ''this isnt quite proven yet but it shows promise''. Just an actual solved thing?!??!
Holy shit i thought we stoppe doing those, YESSSSSSSSS
I want to thank you for your positive videos, with an optimistic approach all throughout! I am excited to experience the future of technology alongside you Dr. Karoly Zsolnai-Feher. ( had to search up how to spell the name :D )
That is perfect spelling right there. Great work and thank you so much for being so kind! 🙂
If Alphafold accomplishes even a tenth of what it promises, they totally deserve a Nobel prize.
I can't even imagine what we are going to discover two more papers down the line!
Been hearing of Deepmind science-domain breakthroughs for five years now and no practical application follow ups. They really need to market practical successes as well to showcase the amazing work
Google don't market anything quickly. Google had LLMs around the same time OpenAI did (see Palm models), but it took OpenAI marketing the technology as ChatGPT for them to wake up and then release Bard/Gemini.
This is actually very good news. I'm impressed.
Well, the dream of proteomics is right on the cusp of being realized. It's definitely an exciting time to be alive.
DeepMind's AlphaProteo AI is hailed as a major breakthrough for humanity, offering revolutionary insights into protein structures and biological processes. This advancement promises significant improvements in drug discovery and understanding complex diseases.
Deepmind's protein models are my favourite AI models
Incredible advancement! AlphaProteo is setting a new bar for AI-driven innovation in medicine.
To all those hesitant about what 9 to 88% success rate means, it changes your screening effort from thousands or hundreds of thousands of candidates to like 100 and years to a bunch of months, even one month could be enough if you ask. It reduces the discovery cost to like 0.1 to 1% of the original cost. Clinical trials should remain the same, it takes years and are expensive, but manufacturing of proteins instead of fancy small molecules is more scalable and easier to distribuye in CDMO's. As well, protein risk assesment is relatively easier than that of small molecules.
I like the future, well, as long as i can afford it.
At least a part of that future will (should) reach most of us for free.
It must be a right...
To health,
To education,
To improve,
With AI.
It must not be only for the rich in developed countries.
*We can't let that happen* .
@@ronilevarez901 How do you plan to prevent it?
@@michaelleue7594 with help.
@@ronilevarez901 yeah a lot of useful free stuff will be there, but a lot of the crazy improvements will cost quite a bit.
@@ronilevarez901 “it must be a right”
Nothing has to be a right, absolutely nothing.
This research has the power to save as much people as indoor plumbing and germ theory.
Truly, what a time to be alive!!
As a bioinformatician, I can confirm that this is absolutely groundbreaking
The most important question: ¿could this be used to cure balding?
One can only dream of a new hirsute future for us slapheads
Finally someone brought it up. What is it all worth if we can’t cure baldness?
hope not, i have an amazing head of hair and the baldies need to accept this
Mind-blowing video! 🧠💡 AI's greatest promise? Cracking the code on major diseases and unlocking human biology. So grateful for this potential health revolution. Here's to a future where AI helps us all live longer, healthier lives! 🌟 #AIforHealth
I've been working in laboratory sciences and studying ML for years, and I have been waiting for this moment. This tool, and later iterations of it, will allow us to produce designer proteins that adhere to receptors on viruses and prions blocking them from connecting with human cells. As we use this tool and then confirm the predictions through experimentation, we will build larger datasets to train the next iteration on.
And people think Google is behind on AI for some reason. Waymo and DeepMind are the two most successful real world AI projects in existence, both Alphabet companies.
Finally I will be superhuman
no I'll be first
This aint for us peasants matey
@@cslearn3044 this is for me, Emperor Pigeon
@@cslearn3044 you're right, your 90 year old grandma in the dementia ward will be getting it first decades before you know it she will be evolved far past anything you could ever imagine...
@@grdfhrghrggrtwqqu my grandma is dead
This is the stuff that makes Science Fiction a reality. Combine this with Orbital Materials and i get dizzy and need to sit down. I personally can't wait for the mapping the new material 'spaces' and learn insights in reliability, toxicity, environmentally friendly and so on. On the bio side a streamlined series of AI's to detect, design and prepare samples and jump straight into another series of AI's to optimize testing. I bet we can shave off weeks for any need to get something to entire population levels. Exciting times indeed
What an amazing time to be alive!
What I would use it for: 1. Make an enzyme that dissolves artery plaque 2. Make a protein that kills any cell around it, but that only activates in the presence of other proteins emitted by cancerous cells.
At the dusk of space era in the 60s humanity was expecting to to have a colonies on another planets by the end of 20th century and many other crazy ambitious plans. Most these plans remained unfulfilled, and seam naive as we progressed in technologies and realized how challenging and expensive it is. Something similar is waiting for us with all this hype about immortality by 2049 and so on.
It's very difficult to ascribe a perfect timeline to compounding technologies and exponential growth. Don't be such a pessimist.
No duh lol
@@ExtantFrodo2 I hope I’m wrong. But that’s just realistic thinking
Dr. Károly Zsolnai-Fehér always shares the good news on research and does so with an optimistic viewpoint, thanks for this
AI safety must be built into the solution. This is the technology that can identify proteins affecting only a specific Person, a specific genetic Group, or a specific Race. The results could not be more detrimental if misused.
This can literally be used to design a bioweapon with an extremely high transmissibility and fatality. 💀 The future is bright yet also terrifying.
Do not forget that this can be used in the opposite direction. The moral and moral level of the ruling "elites" makes us think first of all about this and about contacts with military departments.
Drug discovery community: "Hold my beer"
In a few years someone will find out how to stay young.
There’s almost no infectious disease that this doesn’t in principle cure, as well as many other applications both in the body and out. If deployed and incorporated properly, one could imagine this technology eventually evolving into the basis of a super-charged immune system for society.
It will also give us fine grained control over antigen-expressing matter in general, which is basically everything organic.
Alphafold + AlphaProteo is in my opinion Nobel prize material. It's at least as important as CRISPR-Cas9 was.
I'm a simple man, I see a two minute papers upload, I click
i remember i heard that the protein structures can be seen by very complicated methods but it cost soo much money just to get one protein structure and then see if it can help to certain cases that be able to have a very good approximation using computers is so fucking awesome as it can lead to analyze structures and then see if can be used in certain scenarios without trial and error that cost millions and millions of dollars without even know if will help.
1:03 Alphafold is helping developing enzymes - so is off-brand Tupperware
Thanks for making such amazing research understandable to dummies like us!🧬
2:36, not 300 times better but 3 times better 300% better, just an error.
We will soon be having Kryptonions build on our planet itself in our lifetime.
No need for Superman now, we would be self capable 💪
i hope we get 1 step closer to solving autoimmune disorders, they sure are a pain to live with!
My sister was solving this with the 10 foot phone cord back in 1987
this is the the basis for biology based nanomanufacturing. plus ecosystem design. Will need ASI for best design.
First thing this will be used for is advanced bioweapons development.
What a time to be alive! 😵💫
Protein folding has mostly been solved? Not sure if there are experts agreeing on this.
Love the alphafolds, alphaproteo 2 will provide tons of vaccines and prophylactics
And tinfoil hats sales will skyrocket.
The Bio-Weapons concerns should be considered with this research as well.
I love you AI basilisk ❤❤❤❤❤❤❤ what a time to be alive ❤
Civilization III scientific progress: Cure for diseases.
There may be a lot of serious diseases that won’t be solved by a single protein or drug, there could be some that will. And it will increase our knowledge base that will help bring some of the more difficult diseases within range of a cure further down the road.
Nobody?? Ok.. I'll say it... What a time to be alive!
I think AlphaFold and now AlphaProteo will be looked back on in the future, the same way we now look at the invention of fire.
i have said it before, but Giving this for free is the very Pinnacle of Humanity's capability of co-operation. Just so purely the best we can ever be as Species, solve a problem and make the solution available to everyone everywhere no questions asked.
They're not really giving this away for free. It's difficult to use and integrate with their services and they haven't shared the methods. This is good publicity but that's it.
@@evokanivo yes, i agree but, you'd at least know that they have to be responsible for their technology, and that they want to enable all the good use cases and restricting access for potential threat actors to exploit.
What a time to be alive is something you can say again.
great! finally we can simulate using propability all the possible proteins and what they do! who needs alien worlds proteins now eh? well maybe those never had proteins 😅
I wonder if a similar technology could be used to run prebiotic chemistry simulations? Not in an attempt to replicate certain conditions (like volcanic vents), but just to find out if it could find feasible paths to construct things out of simple organic molecules (like amino acids, nucleotides, and lipids).
Two Minute Papers is a such a reliable source of great news! And it looks like that good news is about to go exponential
There's only one recently I think didn't do its research literally at all involving VR (but that's because that's my field perhaps). I don't know how accurate it is on other topics, but it does have good presentation.
I definitely want to see some enzymes for large scale CO2 refining, and carbon nano-structure assembly. Just think, designer nanotube graphene transistors assembled by Enzymes and Proteins.
Atmospheric CO2 capture going through a series of bubblers with the enzyme solution that rips out the carbon to make an isolated carbon powder, letting the oxygen float to the surface. It wouldn't be that simple, of course, but the concept is the same.
And now with Google illuminate you can feed that paper to it and it'll generate a real life podcast style discussion explaining it for you 😊
even tho i dont understand how do they go from the computer version to actually creating a useful protein in the lab this sounds as groundbreaking as when DNA human sequence was finally "decoded"
I think the hardest part is the select one of the many possible bindings in order to minimize risk of side effect, or am i wrong?
Current concesso seems to be we'll reach longevity escape velocity. (TLDR: Cure for aging) by the early 2030s.
At the speed we're going, that's beginning to seem conservative.
Color me skeptical. Even if we manage to cure Alzheimers, there'll just be another roadblock that comes after it that we just haven't observed consistently enough to know it's a problem yet. And it won't be worth having anyway if it just means the wealthy live forever while the poor die young. That's just straight dystopia material.
We will become Elve with this one ❤
My #1 target: new non-virilizing (masculizing) anabolics to prevent age-related muscle wasting (sarcopenia). The target is 100% clear, and this addresses a huge healthcare cost driver. Falls are also one of the most frequent causes of death in yhe elderly.
Is it even possible to develop drugs that cure all diseases and illnesses and work better than current drugs and completely eliminates all side effects??
As someone who suffers from Pancolitis in a country that is too illiterate to treat it, i am crying.
Google casually saving the world w Waymo and this
yeah, agreed, but we must have a degree of skepticism in this type of technology which is AI.
and so, we need to make this technology more efficient and reduce the time and cost further to classify it as a breakthrough. don't get me wrong, this technology is incredibly transformative in the long term, we just have to wait more, until then we can't get disappointed in this technology if it doesn't meet our high standards needs in all of domain, because we understand this technology, their limitation, their benefits, and how to minimize or reduce or removing the limitation completely, but that will require some sort of architecture breakthrough/algorithmic breakthrough, and we don't know when that happens because the future is inherently unknown. so, let's cherish this achievement, no matter how small it is.
Saying this is free because they published a paper is kinda like saying skyscrapers are free because you can buy books on engineering and build one yourself.
Finally a AI model one can appreciate
2:36 it's 4 times, cuz 300%
Heroes wears white coats.
Imagine we solve cell senescence this century and that gives the current generation just enough runway to solve telomere shortening by the next century. We'd be living forever at this rate.
Hopefully this will allow me to fix my medical issues ❤
Great-but safety against bespoke bio weapons even more critical. We need to implement international licenses to do AI biology with dynamic passwords
at the chip level immediately. And, ligand and nucleic
acid providers must know their customers and be able to alert authorities of suspiscions and red flag laws instituted at labs so collegues can check and audit suspicious activity ASAP.
1:40
Including, like, cures for diseases and pretty much all toxins produced by animals/plants (though many of these are more complex than a single protein, it's a big step)