Google DeepMind and Isomorphic Labs detail AlphaFold 3, an AI model to predict interactions and structures of proteins, DNA, RNA, more, beating many top methods
DeepMind adds a diffusion engine to latest protein-folding software … Glyn Moody / @glynmoody@mastodon.social : AlphaFold 3 predicts the structure and interactions of all of life's molecules - https://blog.google/... incredible; i wrote about this protein folding problem in my book #DigitalCodeOfLife 20 years ago, and then it seemed almost impossible to do as well as this... @m@lgbtqia.space : AlphaFold 3 just arrived! — I have spend so much time donating compute to BOINC to fold proteins. We came a long long way with AIs in this field it is truly remarkable! — This will save so many lives, today is an amazing day and i am super grateful that google invests so much money into this project for basically no benefit for them. … X: @googledeepmind : Announcing AlphaFold 3: our state-of-the-art AI model for predicting the structure and interactions of all life's molecules. 🧬 Here's how we built it with @IsomorphicLabs and what it means for biology. 🧵 https://blog.google/... [video] Jan Kosinski / @jankosinski : Sad that code is not released but I am testing the server and it is not bad and super fast (7 minutes for 1700 residues of a protein-RNA complex). @rolanddunbrack : Demis — I think AlphaFold3 is really exciting. As Reviewer #3, I got great results from the server. I tried hard to get @Nature to urge you to release the code but was unsuccessful. I did not get it for re-review so I don't know if you responded. So why no code? @GoogleDeepMind Anshul Kundaje / @anshulkundaje : Oh nice! @Nature publishes another amazing advertisement for an amazing product masquerading as a scientific publication with no code, no model & a webserver that allows 10 queries at a time from a billion dollar company. But it's “gold” open access folks! Rejoice! Martin Pacesa / @martinpacesa : @MoAlQuraishi Not releasing weights was expected but not releasing even code is pretty bad. What is the point of publishing in a scientific journal then, as opposed to the existing white paper? This is pretty close to a paid promotion imho Dawid Zyla / @dawidzyla : No weights = no actual usage. I hope they will release the weights and code so the in silico revolution can continue. Otherwise, it's just another paper without code. Simona Cristea / @simocristea : @RolandDunbrack ... have you asked why you didn't see the paper again? has your initial review been shared with the authors? @quantamagazine : Diffusion algorithms help power generative art systems like DALL·E. Another algorithm, RoseTTAFold Diffusion All-Atom, uses a similar approach to let biologists design proteins and other biomolecules. https://www.quantamagazine.org/ ... Thomas Lin / @7homaslin : News: Google DeepMind published a Nature paper today announcing AlphaFold3, “which can predict the structures of proteins, DNA, RNA, ligands and other biomolecules, either alone or bound together in different embraces.” @yasemin_sap reports: https://www.quantamagazine.org/ ... @quantamagazine : The folding of proteins determines how they function — and how they malfunction. New AI tools are making it possible to predict the structure of not only proteins, but also the complexes they form with DNA, RNA and other biomolecules. https://www.quantamagazine.org/ ... [image] @rolanddunbrack : @simocristea ... I don't know if the other reviewers saw the revised manuscript or not. I might have been removed from reviewing because I was quite insistent on downloadable code. But Nature editors never responded to my concerns despite repeated emails. I tried; I failed. @rolanddunbrack : Json example for batch jobs on AlphaFold3 “error: Not found.” Since you can only do 10 a day, let's call that a “mini batch.” Not clear if you put 50 jobs in the json, whether they will just run over 5 days or whether you have to babysit them. @GoogleDeepMind [image] @rolanddunbrack : @GrassoGianvito ... I was not given the code despite being asked to install and test the code when I got the paper. After asking for code, after a week+ delay I got anonymous access to the server until @nature made a decision for major revisions. I never saw the paper or server again until today. Gianvito Grasso / @grassogianvito : @RolandDunbrack ... I hope at least Reviewers had access to the code, considering that “Nature undertakes peer review of custom code or mathematical algorithm, and software, when it is central to the manuscript....we require release of code/algorithm during the peer review process.... @rolanddunbrack : @simocristea ... Yes, I wrote to the handling editor several times & the Nature senior editor & was effectively ghosted. I know they sent the initial reviews to the authors but I never saw any response to the reviewers. They fixed up the server along the lines of my review somewhat. Stephanie Wankowicz / @stephanie_mul : Computational papers without code should not be accepted. Plus restricted access impedes the advancement of open science. @rolanddunbrack : In my review, I made a list of much science that happened bc AlphaFold2 code was released. I suggested that so much science will not happen if AlphaFold3 code is not released (or not with AF3 itself). We've made ~100k models with AF2 code. How could we use a server for all that? [image] Richard H. Ebright / @r_h_ebright : Always good to see a structure of a CAP-DNA complex (or a close homolog). Seems likely the ground-truth for this AlphaFold3 model was our crystal structure PDB 1RUN or PDB 1RUO (i.e., “PDB 1 Rutgers University N” or “PDB 1 Rutgers University O"). Sergey Ovchinnikov / @sokrypton : AF3 server is LIVE! Just tried predicting complex with almost 5K amino acids. TIP: you need to click “continue with google” to access the server (otherwise the “server” is grayed out). https://alphafoldserver.com/ [image] @miwieczor : Oh well, barely caught up with AF2 and all its offspring and seems another wave of hype is coming with AF3 😅 Similarly to RoseTTAFold-AllAtom, it's got ligands, NAs, PTMs, and decent handling of antibodies. This time there's a webserver to try it out: https://golgi.sandbox.google.com/ Ruxandra Teslo / @ruxandrateslo : Predicting structure does not mean it can “design new molecular systems.” But anyway, people are already using AI to design e.g. antibodies, which to me is a much better example for Eliezer's point than Alphafold — but it does not go viral on twitter, so he might not have heard... Jay Bradner / @jaybradner : Gravity-changing advance from @IsomorphicLabs and @GoogleDeepMind on AI-enabled drug discovery. Entering the “AlphaFold 3” era, now with protein-protein, protein-DNA and small molecule capabilities (also markedly improved primary structure prediction). The rising tide is just... Séb Krier / @sebkrier : 🧬 Announcing AlphaFold 3, our latest model which can accurately predict the interactions of these proteins with the full spectrum of biomolecules - including DNA, RNA, ligands and more - with unprecedented accuracy. 🚀 https://blog.google/... Eric Topol / @erictopol : AlphaFold 2 was the most significant advance for #AI in life science (predicting structure of proteins) to date. Today @nature there's AlphaFold 3 for DNA, RNA, small molecules, ions, and their interactions (spike of coronavirus below) https://www.nature.com/... [image] @ajasjaljubetic : This is super exciting! Although it's a bit sad to see that the source code and weights are not available, even for academic use. Time will tell if AF3 will be as widely used and universal as AF2 currently is. Can't wait for this year's CASP :) [image] Martin Pacesa / @martinpacesa : Although it is a very exciting development, it is sad to see that no code will be released, which would not be allowed for academic institutions @nature. It was clear that weights will not be released (despite being trained purely on public data) but this I did not expect. @rolanddunbrack : @pedrobeltrao As a reviewer #3 of the paper, I tried REALLY HARD to get @Nature to demand downloadable code. The editors just ghosted me. I wrote extensively that the server needed work but I was not given the paper to re-review so I don't know if they improved it. It's not available yet. Roli Roberts / @roliroberts : @pedrobeltrao FWIW, at @PLOSBiology we would've *insisted* on the code; otherwise, as you say, no point in publishing it. Without the code it is nothing. Pedro Beltrao / @pedrobeltrao : AlphaFold3 is out with improvements on structural models that include DNA/RNA and small molecules. Unfortunately, there is no code, no binary to run at scale and only a limited webserver. Why even publish? https://www.nature.com/... [image] Mohammed AlQuraishi / @moalquraishi : AlphaFold 3 is out! As expected expands coverage to small molecules and nucleic acids. And replaces the structure module with a diffusion-based one. Unfortunately no code or model weights—just a web server for a limited set of ligands: https://blog.google/... Pedro Beltrao / @pedrobeltrao : @MoAlQuraishi 10 searchers per day on a webserver, that should not even be allowed for a method's paper. I get the limitations for commercial use but the gated use through a server with such low volume usage totally sucks for most academic research applications. @nature : The latest version of AlphaFold models how proteins interact with other molecules — but DeepMind restricts access to the tool https://go.nature.com/4dsMcYP Mohammed AlQuraishi / @moalquraishi : @MartinPacesa Not to excuse the lack of real code, but the pseudocode in the SI is reasonably detailed. Some pieces may yet be missing of course. @isomorphiclabs : AlphaFold 3 generates 3D structures of molecular complexes. Our paper shows that for interactions of proteins with other molecules, this model is at least 50% more accurate and for some important interfaces with RNA, DNA, and antibodies, AlphaFold 3 has double the accuracy. Xinming Tu / @tuxinming : I agree, but I also believe that the community(such as @open_fold) will quickly reproduce AlphaFold3 based on the detailed supplements. I am quite confused as to why they provide detailed supplements but not the code. Could it be the policy of Isomorphic Labs? Chris Hayduk / @chris_hayduk1 : @thesteinegger @MoAlQuraishi They did give a pretty detailed breakdown of the model and loss function in the supplementary information (about as much info as was given for AlphaFold2), so an open source reproduction should be possible, assuming access to enough compute Martin Steinegger / @thesteinegger : AlphaFold3 launched today, now with prediction capabilities for RNA, DNA, ligands, and PTMs. Results look great. However, it feels more like a marketing strategy-no code shared, using the biosecurity excuse. Hoping for an open-source version soon. Looking at you @MoAlQuraishi :) [image] Anthony Gitter / @anthonygitter : @anshulkundaje @Nature And they promote how transformative it is for drug discovery but end users are prohibited from using it with ligands that would be relevant for drug discovery https://twitter.com/... Max Jaderberg / @maxjaderberg : We've been developing AlphaFold 3 to advance how we do drug design at @IsomorphicLabs. This model allows us to a) do rational structure based drug design in-silico, and b) understand more about the biological context of targets https://www.isomorphiclabs.com/ ... 1/ [video] Sergei Yakneen / @sergeiiakhnin : Incredibly proud and excited to share that our work on developing AlphaFold 3, together with Google DeepMind, has been published in Nature ( https://www.nature.com/...)! To learn about this state-of-the-art model visit our blogs - https://www.isomorphiclabs.com/ ... and https://www.isomorphiclabs.com/ .... [image] Sergei Yakneen / @sergeiiakhnin : At @IsomorphicLabs we are focused on applications of AlphaFold3 to drug discovery. Accurately modelling structure of protein-ligand interactions and complexes with DNA, RNA and other molecules go a long way to enable progress against targets. Blog - https://www.isomorphiclabs.com/ .... #af3 [video] @isomorphiclabs : How could #AlphaFold 3 transform drug discovery? Most drugs are small molecules known as ligands that bind to proteins to change how they interact in human health and disease. AlphaFold 3 can predict these interactions to atomic accuracy. @menepangalos : Exciting to see the rapid progress being made @IsomorphicLabs with AlphaFold 3 - predictions keep getting better and better and will continue to transform how we design and optimise molecules across the small molecule, oligo & biologic space https://www.isomorphiclabs.com/ ... Max Jaderberg / @maxjaderberg : Super excited to be releasing AlphaFold 3 today, developed by @IsomorphicLabs and @GoogleDeepMind: our next generation AI model for predicting the biomolecular structures and interactions of proteins, DNA, RNA, small molecules, and more: https://www.isomorphiclabs.com/ ... 1/ [image] Fiona Marshall / @fionahmarshall : Congratulations to Google Deep Mind and our partners at Isomorphic Labs for the remarkable development of Alphafold 3 ( https://www.nature.com/...) which now has greatly enhanced ability to model proteins in complex with multiple binding partners including DNA, RNA and small molecule... [image] Joshua Forman / @joshuaforman : Google just dropped AlphaFold3, which addresses this primary weakness of AF2 by now including interactions between proteins and DNA/other proteins/small molecules. This is shocking speed at which we're approaching direct relevance to drug development. https://www.nature.com/... Sundar Pichai / @sundarpichai : 1.8M+ researchers have used @GoogleDeepMind's AlphaFold protein predictions in their work on vaccine development, cancer treatment + more. AlphaFold 3 is the latest breakthrough, predicting the structures + interactions of all of life's molecules with unprecedented accuracy.... [image] @drjimfan : AlphaFold-3 is out, the latest iteration of the greatest breakthrough in AI for biology. What's new is that AlphaFold-3 uses diffusion to “render” the molecular structure. It starts from a fuzzy cloud of atoms and then materializes the molecule gradually through denoising. We live on a timeline where learnings from Llama and Sora can inform and accelerate life sciences. @isomorphiclabs : We're excited to announce #AlphaFold 3 with @GoogleDeepMind in @Nature: our new AI model for predicting biomolecule structures with unprecedented breadth and accuracy. Expanding beyond proteins to tackle DNA, RNA, small molecules to fuel advances in biology & drug design 🧵 [video] Eliezer Yudkowsky / @esyudkowsky : It's easy to make up technical-sounding skeptical-sounding groundless bullshit about barriers to a superintelligence designing new molecular systems. Reality has failed to contain any visible obstacle where invincible walls of hopium stood in mind. https://blog.google/... @google : AlphaFold 3 is our newest AI model from @GoogleDeepMind and @IsomorphicLabs that can predict the structure and interaction of all life's molecules with unprecedented accuracy. We hope it will help transform our understanding of the biological world. 🧬 https://blog.google/... Alexandre Moufarek / @amoufarek : Introducing AlphaFold 3, a new AI model that accurately predicts the structures and interactions of nearly all of life's molecules with state-of-the-art accuracy including proteins, DNA and RNA! Congrats to our teams @GoogleDeepMind & @IsomorphicLabs!👏🎉 https://blog.google/... Shako / @shakoistslog : imagine working on this instead of b2b saas. way harder to do, and far less upside and money. I feel bad for them. Cleo Abram / @cleoabram : This is truly huge if true. Here's what AlphaFold does and why this new announcement from @GoogleDeepMind is such a big deal: [video] Christian Keil / @pronounced_kyle : That's a HELL of a headline, especially coming out of Google: “AlphaFold 3 predicts the structure and interactions of all of life's molecules” @nxthompson : AI today: figuring out both the underlying structure of life and generating amazing fake Met Gala dresses for Katy Perry. Pushmeet Kohli / @pushmeet : Happy to announce #AlphaFold 3 from @GoogleDeepMind and @IsomorphicLabs. Our new AlphaFold Server illuminates the molecular universe in cells (from proteins to RNA, DNA, ligands and beyond) transforming our understanding of biology. Find out more here ⬇️ https://blog.google/... @googledeepmind : AlphaFold 3 can generate the 3D structures of proteins, DNA, RNA, and smaller molecules, while also revealing how they fit together. 🧩 It can also model chemical changes to them that control the healthy functioning of cells - and when disrupted, could lead to disease. [video] @googledeepmind : We have also launched AlphaFold Server, a free platform that scientists around the world can use for non-commercial research. 🔬 They can harness AlphaFold 3's predictions and test hypotheses with just a few clicks - no matter their technical expertise. →... [video] LinkedIn: Leonardo De Marchi : In a world full of LLMs Google DeepMind quietly releases a new version of AlphaFold, a model that predicts structure and interactions of all life's molecules … Anna Koivuniemi : Today, we're unveiling #AlphaFold 3, a revolutionary AI model that can predict the structure and interactions of all life's molecules with unprecedented accuracy … Dex Hunter-Torricke : Chatbots are amazing, but AI is *so* much more than that. — Today we announced AlphaFold 3 from Google DeepMind, an AI system that can predict … Lila Ibrahim : Today we're taking another big step to advance scientific discovery with AI by introducing #AlphaFold3 and #AlphaFoldServer. … Forums: Hacker News : New AI Tools Predict How Life's Building Blocks Assemble r/aiwars : Post “AlphaFold 3 predicts the structure and interactions of all of life's molecules”. AlphaFold 3, a new AI model from Google DeepMind and Isomorphic Labs … r/longevity : AlphaFold 3 predicts the structure and interactions of all of life's molecules r/science : Google DeepMind: AlphaFold 3 predicts the structure and interactions of all of life's molecules
This is really cool, but support for membrane proteins is still non-existent. Everything is still just treated as globular. 30% of the human genome is membrane proteins. What a disappointment. https://blog.google/...
Google DeepMind and Isomorphic Labs have announced the release of the jointly developed AlphaFold 3. AlphaFold 3 is a revolutionary model that can predict the structure and interactions of all life's molecules, with at least a 50% improvement in accuracy for the interactions of …
AlphaFold 3 predicts the structure and interactions of all of life's molecules - https://blog.google/... incredible; i wrote about this protein folding problem in my book #DigitalCodeOfLife 20 years ago, and then it seemed almost impossible to do as well as this...
Announcing AlphaFold 3: our state-of-the-art AI model for predicting the structure and interactions of all life's molecules. 🧬 Here's how we built it with @IsomorphicLabs and what it means for biology. 🧵 https://blog.google/... [video]
Demis — I think AlphaFold3 is really exciting. As Reviewer #3, I got great results from the server. I tried hard to get @Nature to urge you to release the code but was unsuccessful. I did not get it for re-review so I don't know if you responded. So why no code? @GoogleDeepMind
Oh nice! @Nature publishes another amazing advertisement for an amazing product masquerading as a scientific publication with no code, no model & a webserver that allows 10 queries at a time from a billion dollar company. But it's “gold” open access folks! Rejoice!
@MoAlQuraishi Not releasing weights was expected but not releasing even code is pretty bad. What is the point of publishing in a scientific journal then, as opposed to the existing white paper? This is pretty close to a paid promotion imho
No weights = no actual usage. I hope they will release the weights and code so the in silico revolution can continue. Otherwise, it's just another paper without code.
Diffusion algorithms help power generative art systems like DALL·E. Another algorithm, RoseTTAFold Diffusion All-Atom, uses a similar approach to let biologists design proteins and other biomolecules. https://www.quantamagazine.org/ ...
News: Google DeepMind published a Nature paper today announcing AlphaFold3, “which can predict the structures of proteins, DNA, RNA, ligands and other biomolecules, either alone or bound together in different embraces.” @yasemin_sap reports: https://www.quantamagazine.org/ ...
The folding of proteins determines how they function — and how they malfunction. New AI tools are making it possible to predict the structure of not only proteins, but also the complexes they form with DNA, RNA and other biomolecules. https://www.quantamagazine.org/ ... [image]
@simocristea ... I don't know if the other reviewers saw the revised manuscript or not. I might have been removed from reviewing because I was quite insistent on downloadable code. But Nature editors never responded to my concerns despite repeated emails. I tried; I failed.
In my review, I made a list of much science that happened bc AlphaFold2 code was released. I suggested that so much science will not happen if AlphaFold3 code is not released (or not with AF3 itself). We've made ~100k models with AF2 code. How could we use a server for all that? …
Json example for batch jobs on AlphaFold3 “error: Not found.” Since you can only do 10 a day, let's call that a “mini batch.” Not clear if you put 50 jobs in the json, whether they will just run over 5 days or whether you have to babysit them. @GoogleDeepMind [image]
@GrassoGianvito ... I was not given the code despite being asked to install and test the code when I got the paper. After asking for code, after a week+ delay I got anonymous access to the server until @nature made a decision for major revisions. I never saw the paper or server a…
@RolandDunbrack ... I hope at least Reviewers had access to the code, considering that “Nature undertakes peer review of custom code or mathematical algorithm, and software, when it is central to the manuscript....we require release of code/algorithm during the peer review proces…
@simocristea ... Yes, I wrote to the handling editor several times & the Nature senior editor & was effectively ghosted. I know they sent the initial reviews to the authors but I never saw any response to the reviewers. They fixed up the server along the lines of my review somewh…
Always good to see a structure of a CAP-DNA complex (or a close homolog). Seems likely the ground-truth for this AlphaFold3 model was our crystal structure PDB 1RUN or PDB 1RUO (i.e., “PDB 1 Rutgers University N” or “PDB 1 Rutgers University O").
AF3 server is LIVE! Just tried predicting complex with almost 5K amino acids. TIP: you need to click “continue with google” to access the server (otherwise the “server” is grayed out). https://alphafoldserver.com/ [image]
Oh well, barely caught up with AF2 and all its offspring and seems another wave of hype is coming with AF3 😅 Similarly to RoseTTAFold-AllAtom, it's got ligands, NAs, PTMs, and decent handling of antibodies. This time there's a webserver to try it out: https://golgi.sandbox.google…
Predicting structure does not mean it can “design new molecular systems.” But anyway, people are already using AI to design e.g. antibodies, which to me is a much better example for Eliezer's point than Alphafold — but it does not go viral on twitter, so he might not have heard..…
Gravity-changing advance from @IsomorphicLabs and @GoogleDeepMind on AI-enabled drug discovery. Entering the “AlphaFold 3” era, now with protein-protein, protein-DNA and small molecule capabilities (also markedly improved primary structure prediction). The rising tide is just...
🧬 Announcing AlphaFold 3, our latest model which can accurately predict the interactions of these proteins with the full spectrum of biomolecules - including DNA, RNA, ligands and more - with unprecedented accuracy. 🚀 https://blog.google/...
AlphaFold 2 was the most significant advance for #AI in life science (predicting structure of proteins) to date. Today @nature there's AlphaFold 3 for DNA, RNA, small molecules, ions, and their interactions (spike of coronavirus below) https://www.nature.com/... [image]
This is super exciting! Although it's a bit sad to see that the source code and weights are not available, even for academic use. Time will tell if AF3 will be as widely used and universal as AF2 currently is. Can't wait for this year's CASP :) [image]
Although it is a very exciting development, it is sad to see that no code will be released, which would not be allowed for academic institutions @nature. It was clear that weights will not be released (despite being trained purely on public data) but this I did not expect.
@pedrobeltrao As a reviewer #3 of the paper, I tried REALLY HARD to get @Nature to demand downloadable code. The editors just ghosted me. I wrote extensively that the server needed work but I was not given the paper to re-review so I don't know if they improved it. It's not avail…
@pedrobeltrao FWIW, at @PLOSBiology we would've *insisted* on the code; otherwise, as you say, no point in publishing it. Without the code it is nothing.
AlphaFold3 is out with improvements on structural models that include DNA/RNA and small molecules. Unfortunately, there is no code, no binary to run at scale and only a limited webserver. Why even publish? https://www.nature.com/... [image]
AlphaFold 3 is out! As expected expands coverage to small molecules and nucleic acids. And replaces the structure module with a diffusion-based one. Unfortunately no code or model weights—just a web server for a limited set of ligands: https://blog.google/...
@MoAlQuraishi 10 searchers per day on a webserver, that should not even be allowed for a method's paper. I get the limitations for commercial use but the gated use through a server with such low volume usage totally sucks for most academic research applications.
The latest version of AlphaFold models how proteins interact with other molecules — but DeepMind restricts access to the tool https://go.nature.com/4dsMcYP
AlphaFold 3 generates 3D structures of molecular complexes. Our paper shows that for interactions of proteins with other molecules, this model is at least 50% more accurate and for some important interfaces with RNA, DNA, and antibodies, AlphaFold 3 has double the accuracy.
I agree, but I also believe that the community(such as @open_fold) will quickly reproduce AlphaFold3 based on the detailed supplements. I am quite confused as to why they provide detailed supplements but not the code. Could it be the policy of Isomorphic Labs?
@thesteinegger @MoAlQuraishi They did give a pretty detailed breakdown of the model and loss function in the supplementary information (about as much info as was given for AlphaFold2), so an open source reproduction should be possible, assuming access to enough compute
AlphaFold3 launched today, now with prediction capabilities for RNA, DNA, ligands, and PTMs. Results look great. However, it feels more like a marketing strategy-no code shared, using the biosecurity excuse. Hoping for an open-source version soon. Looking at you @MoAlQuraishi :) …
@anshulkundaje @Nature And they promote how transformative it is for drug discovery but end users are prohibited from using it with ligands that would be relevant for drug discovery https://twitter.com/...
We've been developing AlphaFold 3 to advance how we do drug design at @IsomorphicLabs. This model allows us to a) do rational structure based drug design in-silico, and b) understand more about the biological context of targets https://www.isomorphiclabs.com/ ... 1/ [video]
Incredibly proud and excited to share that our work on developing AlphaFold 3, together with Google DeepMind, has been published in Nature ( https://www.nature.com/...)! To learn about this state-of-the-art model visit our blogs - https://www.isomorphiclabs.com/ ... and https://w…
At @IsomorphicLabs we are focused on applications of AlphaFold3 to drug discovery. Accurately modelling structure of protein-ligand interactions and complexes with DNA, RNA and other molecules go a long way to enable progress against targets. Blog - https://www.isomorphiclabs.com…
How could #AlphaFold 3 transform drug discovery? Most drugs are small molecules known as ligands that bind to proteins to change how they interact in human health and disease. AlphaFold 3 can predict these interactions to atomic accuracy.
Exciting to see the rapid progress being made @IsomorphicLabs with AlphaFold 3 - predictions keep getting better and better and will continue to transform how we design and optimise molecules across the small molecule, oligo & biologic space https://www.isomorphiclabs.com/ ..…
Super excited to be releasing AlphaFold 3 today, developed by @IsomorphicLabs and @GoogleDeepMind: our next generation AI model for predicting the biomolecular structures and interactions of proteins, DNA, RNA, small molecules, and more: https://www.isomorphiclabs.com/ ... 1/ [im…
Congratulations to Google Deep Mind and our partners at Isomorphic Labs for the remarkable development of Alphafold 3 ( https://www.nature.com/...) which now has greatly enhanced ability to model proteins in complex with multiple binding partners including DNA, RNA and small mole…
Google just dropped AlphaFold3, which addresses this primary weakness of AF2 by now including interactions between proteins and DNA/other proteins/small molecules. This is shocking speed at which we're approaching direct relevance to drug development. https://www.nature.com/...
1.8M+ researchers have used @GoogleDeepMind's AlphaFold protein predictions in their work on vaccine development, cancer treatment + more. AlphaFold 3 is the latest breakthrough, predicting the structures + interactions of all of life's molecules with unprecedented accuracy.... […
AlphaFold-3 is out, the latest iteration of the greatest breakthrough in AI for biology. What's new is that AlphaFold-3 uses diffusion to “render” the molecular structure. It starts from a fuzzy cloud of atoms and then materializes the molecule gradually through denoising. We …
We're excited to announce #AlphaFold 3 with @GoogleDeepMind in @Nature: our new AI model for predicting biomolecule structures with unprecedented breadth and accuracy. Expanding beyond proteins to tackle DNA, RNA, small molecules to fuel advances in biology & drug design 🧵 [video…
It's easy to make up technical-sounding skeptical-sounding groundless bullshit about barriers to a superintelligence designing new molecular systems. Reality has failed to contain any visible obstacle where invincible walls of hopium stood in mind. https://blog.google/...
AlphaFold 3 is our newest AI model from @GoogleDeepMind and @IsomorphicLabs that can predict the structure and interaction of all life's molecules with unprecedented accuracy. We hope it will help transform our understanding of the biological world. 🧬 https://blog.google/...
Introducing AlphaFold 3, a new AI model that accurately predicts the structures and interactions of nearly all of life's molecules with state-of-the-art accuracy including proteins, DNA and RNA! Congrats to our teams @GoogleDeepMind & @IsomorphicLabs!👏🎉 https://blog.google/...
Happy to announce #AlphaFold 3 from @GoogleDeepMind and @IsomorphicLabs. Our new AlphaFold Server illuminates the molecular universe in cells (from proteins to RNA, DNA, ligands and beyond) transforming our understanding of biology. Find out more here ⬇️ https://blog.google/...
AlphaFold 3 can generate the 3D structures of proteins, DNA, RNA, and smaller molecules, while also revealing how they fit together. 🧩 It can also model chemical changes to them that control the healthy functioning of cells - and when disrupted, could lead to disease. [video]
We have also launched AlphaFold Server, a free platform that scientists around the world can use for non-commercial research. 🔬 They can harness AlphaFold 3's predictions and test hypotheses with just a few clicks - no matter their technical expertise. →... [video]
Post “AlphaFold 3 predicts the structure and interactions of all of life's molecules”. AlphaFold 3, a new AI model from Google DeepMind and Isomorphic Labs …
Thrilled to announce AlphaFold 3 which can predict the structures and interactions of nearly all of life's molecules with state-of-the-art accuracy including proteins, DNA and RNA. Biology is a complex dynamical system so modeling interactions is crucial https://blog.google/... […
“I can't think of a better use case for artificial intelligence than solving hundreds of terrible diseases” Google DeepMind CEO Demis Hassabis says the AlphaFold AI system has the potential to revolutionize medicine and create “enormous commercial value” https://www.bloomberg.com…