People keep pointing to Alphafold, the protein-folding project as an example of AI's potential success in health & science, but Google disbanded it in July.
Google DeepMind disbands its Nobel-prize winning AlphaFold team - Engadget
DeepMind's award-winning AlphaFold team is no more.
www.engadget.com
October 29, 2026 at 2:10 PM
People keep pointing to Alphafold, the protein-folding project as an example of AI's potential success in health & science, but Google disbanded it in July.
AlphaFold is great, but do you know how to make the most of it ?
Come to visit me and participate in a AlphaFold training at @i2bcparissaclay.bsky.social
cnrsformation.cnrs.fr/catalogue/fo...
Come to visit me and participate in a AlphaFold training at @i2bcparissaclay.bsky.social
cnrsformation.cnrs.fr/catalogue/fo...
CNRS Formation Entreprises - Beginner's guide to AlphaFold : structural prediction of proteins and biological assemblies...
Découvrez nos modules de formation conçus par des experts du CNRS. Alliez théorie et pratique dans nos laboratoires pour maîtriser l'innovation scientifique.
cnrsformation.cnrs.fr
November 2, 2026 at 3:10 PM
AlphaFold is great, but do you know how to make the most of it ?
Come to visit me and participate in a AlphaFold training at @i2bcparissaclay.bsky.social
cnrsformation.cnrs.fr/catalogue/fo...
Come to visit me and participate in a AlphaFold training at @i2bcparissaclay.bsky.social
cnrsformation.cnrs.fr/catalogue/fo...
I mean... Drug discovery models _are_ also generative AI. AlphaFold and the protein-design tools are literally image generators for molecules, using the same diffusion technique image generation models use.
November 3, 2026 at 12:23 AM
I mean... Drug discovery models _are_ also generative AI. AlphaFold and the protein-design tools are literally image generators for molecules, using the same diffusion technique image generation models use.
Just like the other useful applications (ex. AlphaFold), this is also NOT an LLM.
November 1, 2026 at 10:53 PM
Just like the other useful applications (ex. AlphaFold), this is also NOT an LLM.
General prediction of T cell receptor antigen specificity from sequence using AlphaFold 3
www.science.org/doi/10.1126/...
www.science.org/doi/10.1126/...
General prediction of T cell receptor antigen specificity from sequence using AlphaFold 3
The major histocompatibility complex (MHC):peptide:T cell receptor (TCR) complex is the most diverse trimolecular interface known in nature and a key trigger for adaptive immunity. TCRs are now routin...
www.science.org
October 30, 2026 at 8:20 PM
General prediction of T cell receptor antigen specificity from sequence using AlphaFold 3
www.science.org/doi/10.1126/...
www.science.org/doi/10.1126/...
A tale of two states: AlphaFold binding pockets on the apo-holo continuum www.biorxiv.org/content/10.64898/2026.10.26.762003v1 #cryoem
October 31, 2026 at 10:14 AM
A tale of two states: AlphaFold binding pockets on the apo-holo continuum www.biorxiv.org/content/10.64898/2026.10.26.762003v1 #cryoem
Edit: Please find the correct link for the webinar on 19 November with Dan Rigden: www.ebi.ac.uk/training/eve...
AlphaFold for gene structure annotation -
AlphaFold for gene structure annotation -
www.ebi.ac.uk
November 4, 2026 at 10:06 AM
Edit: Please find the correct link for the webinar on 19 November with Dan Rigden: www.ebi.ac.uk/training/eve...
Sebastian Mallaby joins @kball.llc to explore the story of Demis Hassabis and DeepMind, from its early breakthroughs to AlphaFold and the race to build AGI.
softwareengineeringdaily.com/podcasts/dem...
softwareengineeringdaily.com/podcasts/dem...
Demis Hassabis and the Race to Build AI with Sebastian Mallaby - Software Engineering Daily
Sebastian Mallaby joins Kevin Ball to explore the story of Demis Hassabis and DeepMind, from its early breakthroughs to AlphaFold and the race to build AGI.
softwareengineeringdaily.com
November 3, 2026 at 10:30 AM
Sebastian Mallaby joins @kball.llc to explore the story of Demis Hassabis and DeepMind, from its early breakthroughs to AlphaFold and the race to build AGI.
softwareengineeringdaily.com/podcasts/dem...
softwareengineeringdaily.com/podcasts/dem...
Took ages to dig this out!
Google are folding alphafold,
Google are folding alphafold,
November 3, 2026 at 5:52 PM
Took ages to dig this out!
Google are folding alphafold,
Google are folding alphafold,
CRV Science Wiki
🧬 AlphaFold — AlphaFold is a deep-learning neural network architecture that predicts atomic-resolution three-dimensional protein structures from primary amino-acid sequences by coupling multiple sequence alignment co-evolutionary attention w…
https://crvscience.com/wiki/alphafold
🧬 AlphaFold — AlphaFold is a deep-learning neural network architecture that predicts atomic-resolution three-dimensional protein structures from primary amino-acid sequences by coupling multiple sequence alignment co-evolutionary attention w…
https://crvscience.com/wiki/alphafold
CRV Science Wiki
🧬 AlphaFold — AlphaFold is a deep-learning neural network architecture that predicts atomic-resolution three-dimensional protein structures from primary amino-acid sequences by coupling multiple sequence alignment co-evolutionary attention with SE(3)-equivariant coordinate refine…
crvscience.com
November 2, 2026 at 8:04 AM
CRV Science Wiki
🧬 AlphaFold — AlphaFold is a deep-learning neural network architecture that predicts atomic-resolution three-dimensional protein structures from primary amino-acid sequences by coupling multiple sequence alignment co-evolutionary attention w…
https://crvscience.com/wiki/alphafold
🧬 AlphaFold — AlphaFold is a deep-learning neural network architecture that predicts atomic-resolution three-dimensional protein structures from primary amino-acid sequences by coupling multiple sequence alignment co-evolutionary attention w…
https://crvscience.com/wiki/alphafold
Google juuri kesällä hajotti Alphafold-tutkimustiiminsä, koska halusivat keskittyä proteiinitutkimuksen sijaan kielimalleihin eli slopin tuottamiseen.
Lääkkeiden kehittäminen on vain yksi boostereiden keppihevosista, jolla ei ole mitään tekemistä "tekoälynä" myytävän paskan kanssa
Lääkkeiden kehittäminen on vain yksi boostereiden keppihevosista, jolla ei ole mitään tekemistä "tekoälynä" myytävän paskan kanssa
October 31, 2026 at 8:58 AM
Google juuri kesällä hajotti Alphafold-tutkimustiiminsä, koska halusivat keskittyä proteiinitutkimuksen sijaan kielimalleihin eli slopin tuottamiseen.
Lääkkeiden kehittäminen on vain yksi boostereiden keppihevosista, jolla ei ole mitään tekemistä "tekoälynä" myytävän paskan kanssa
Lääkkeiden kehittäminen on vain yksi boostereiden keppihevosista, jolla ei ole mitään tekemistä "tekoälynä" myytävän paskan kanssa
I will forever be unimpressed by AlphaFold until we see confirmation in wet lab studies.
Oh wait, our NIH is drastically underfunded.
Computer scientists predictably fail to internalize that we lack a significant understanding of components in a COMPLEX system.
#triplethenih
Oh wait, our NIH is drastically underfunded.
Computer scientists predictably fail to internalize that we lack a significant understanding of components in a COMPLEX system.
#triplethenih
Researchers at TGen used AlphaFold 3 to predict which antigens T cells recognize from their genetic sequences.
Across 9,000+ T-cell receptors and 1,000+ epitopes, their model achieved 81–92% AUC on independent tests.
A major advance in decoding immune responses.
www.science.org/doi/10.1126/...
Across 9,000+ T-cell receptors and 1,000+ epitopes, their model achieved 81–92% AUC on independent tests.
A major advance in decoding immune responses.
www.science.org/doi/10.1126/...
General prediction of T cell receptor antigen specificity from sequence using AlphaFold 3
The major histocompatibility complex (MHC):peptide:T cell receptor (TCR) complex is the most diverse trimolecular interface known in nature and a key trigger for adaptive immunity. TCRs are now routin...
www.science.org
October 30, 2026 at 10:23 PM
I will forever be unimpressed by AlphaFold until we see confirmation in wet lab studies.
Oh wait, our NIH is drastically underfunded.
Computer scientists predictably fail to internalize that we lack a significant understanding of components in a COMPLEX system.
#triplethenih
Oh wait, our NIH is drastically underfunded.
Computer scientists predictably fail to internalize that we lack a significant understanding of components in a COMPLEX system.
#triplethenih
A tale of two states: AlphaFold binding pockets on the apo-holo continuum https://www.biorxiv.org/content/10.64898/2026.10.26.762003v1
October 31, 2026 at 2:48 AM
A tale of two states: AlphaFold binding pockets on the apo-holo continuum https://www.biorxiv.org/content/10.64898/2026.10.26.762003v1
Researchers at TGen used AlphaFold 3 to predict which antigens T cells recognize from their genetic sequences.
Across 9,000+ T-cell receptors and 1,000+ epitopes, their model achieved 81–92% AUC on independent tests.
A major advance in decoding immune responses.
www.science.org/doi/10.1126/...
Across 9,000+ T-cell receptors and 1,000+ epitopes, their model achieved 81–92% AUC on independent tests.
A major advance in decoding immune responses.
www.science.org/doi/10.1126/...
General prediction of T cell receptor antigen specificity from sequence using AlphaFold 3
The major histocompatibility complex (MHC):peptide:T cell receptor (TCR) complex is the most diverse trimolecular interface known in nature and a key trigger for adaptive immunity. TCRs are now routin...
www.science.org
October 30, 2026 at 9:06 PM
Researchers at TGen used AlphaFold 3 to predict which antigens T cells recognize from their genetic sequences.
Across 9,000+ T-cell receptors and 1,000+ epitopes, their model achieved 81–92% AUC on independent tests.
A major advance in decoding immune responses.
www.science.org/doi/10.1126/...
Across 9,000+ T-cell receptors and 1,000+ epitopes, their model achieved 81–92% AUC on independent tests.
A major advance in decoding immune responses.
www.science.org/doi/10.1126/...
Indeed. AlphaFold 3 is essentially a diffusion model.
October 29, 2026 at 5:00 PM
Indeed. AlphaFold 3 is essentially a diffusion model.
3/ Protein Folding (AlphaFold)
DeepMind predicted 3D structures for 200M+ proteins, catalysing targeted therapies for cancer, Parkinson's & malaria. Led to the 2024 Nobel Prize.
Source: doi.org/10.1038/s415...
DeepMind predicted 3D structures for 200M+ proteins, catalysing targeted therapies for cancer, Parkinson's & malaria. Led to the 2024 Nobel Prize.
Source: doi.org/10.1038/s415...
Highly accurate protein structure prediction with AlphaFold - Nature
AlphaFold predicts protein structures with an accuracy competitive with experimental structures in the majority of cases using a novel deep learning architecture.
doi.org
November 1, 2026 at 11:04 AM
3/ Protein Folding (AlphaFold)
DeepMind predicted 3D structures for 200M+ proteins, catalysing targeted therapies for cancer, Parkinson's & malaria. Led to the 2024 Nobel Prize.
Source: doi.org/10.1038/s415...
DeepMind predicted 3D structures for 200M+ proteins, catalysing targeted therapies for cancer, Parkinson's & malaria. Led to the 2024 Nobel Prize.
Source: doi.org/10.1038/s415...
Chapter 16 explains how @OpenAI passed @Google Deep Mind which was preoccupied with AlphaFold & because @Google didn't recognize the threat of @openai
November 3, 2026 at 3:41 PM
Chapter 16 explains how @OpenAI passed @Google Deep Mind which was preoccupied with AlphaFold & because @Google didn't recognize the threat of @openai
I wasn’t going to get into it with that dipshit, but Alphafold did not deliver as much as hoped, because it turns out dicking around with amino acids with an LLM like they are words only goes so far without a deeper quantum mechanical view of intermolecular/interatomic interactions.
November 3, 2026 at 6:08 PM
I wasn’t going to get into it with that dipshit, but Alphafold did not deliver as much as hoped, because it turns out dicking around with amino acids with an LLM like they are words only goes so far without a deeper quantum mechanical view of intermolecular/interatomic interactions.
General prediction of T cell receptor antigen specificity from sequence using AlphaFold 3
Science Advances
www.science.org/doi/10.1126/...
Science Advances
www.science.org/doi/10.1126/...
General prediction of T cell receptor antigen specificity from sequence using AlphaFold 3
The major histocompatibility complex (MHC):peptide:T cell receptor (TCR) complex is the most diverse trimolecular interface known in nature and a key trigger for adaptive immunity. TCRs are now routin...
www.science.org
November 3, 2026 at 2:34 AM
General prediction of T cell receptor antigen specificity from sequence using AlphaFold 3
Science Advances
www.science.org/doi/10.1126/...
Science Advances
www.science.org/doi/10.1126/...
For 50 years, scientists struggled to predict how a protein folds into its 3D shape. Then DeepMind’s AlphaFold did it with near-lab accuracy, from the amino acid sequence alone.
#ProteinFolding #ProteinStructure #AIBreakthrough #ArtificialIntelligence #MachineLearning
youtube.com/shorts/ZZoNZ...
#ProteinFolding #ProteinStructure #AIBreakthrough #ArtificialIntelligence #MachineLearning
youtube.com/shorts/ZZoNZ...
The AI That Solved a 50-Year Biology Problem
YouTube video by Pawthon Labs
youtube.com
November 1, 2026 at 4:00 PM
For 50 years, scientists struggled to predict how a protein folds into its 3D shape. Then DeepMind’s AlphaFold did it with near-lab accuracy, from the amino acid sequence alone.
#ProteinFolding #ProteinStructure #AIBreakthrough #ArtificialIntelligence #MachineLearning
youtube.com/shorts/ZZoNZ...
#ProteinFolding #ProteinStructure #AIBreakthrough #ArtificialIntelligence #MachineLearning
youtube.com/shorts/ZZoNZ...
and AlphaFold which was supposed to help with things like that was ... folded.
October 27, 2026 at 4:31 PM
and AlphaFold which was supposed to help with things like that was ... folded.
A tale of two states: AlphaFold binding pockets on the apo-holo continuum www.biorxiv.org/content/10.64898/2026.10.26.762003v1 #cryoem
October 31, 2026 at 10:14 AM
A tale of two states: AlphaFold binding pockets on the apo-holo continuum www.biorxiv.org/content/10.64898/2026.10.26.762003v1 #cryoem
In joint work, Andy Jones and Dan Rigden explored whether AF could help select the correct gene structure model, using original and manually curated pairs from two fungi and an apicoplast.
Registration is free but essential to secure your place on this webinar.
www.ebi.ac.uk/training/eve...
🧬🖥️📊
Registration is free but essential to secure your place on this webinar.
www.ebi.ac.uk/training/eve...
🧬🖥️📊
November 3, 2026 at 2:55 PM
In joint work, Andy Jones and Dan Rigden explored whether AF could help select the correct gene structure model, using original and manually curated pairs from two fungi and an apicoplast.
Registration is free but essential to secure your place on this webinar.
www.ebi.ac.uk/training/eve...
🧬🖥️📊
Registration is free but essential to secure your place on this webinar.
www.ebi.ac.uk/training/eve...
🧬🖥️📊
LEAPER 3.0 harnesses engineered ADAR-recruiting RNAs for precise RNA editing, enhancing efficiency via AlphaFold 3 insights—revolutionizing gene therapy. PMID:42269608, Cell 2026, @Cell https://www.cell.com/cell/fulltext/S0092-8674(26)00514-3 #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
https://www.cell.com/cell/fulltext/S0092-8674(26)00514-3
No description available
www.cell.com
October 30, 2026 at 6:00 AM