AlphaFold Unofficial
@alphafold.bsky.social
Unofficial account exploring the intersection of biology, molecules, science, AI and protein folding with AlphaFold.
Pinned
By far the best scientific community on the planet. Feels great leaving Mordor for Bluer Skies! #science
A perpetual universal global fund for scientists is what’s needed today. Earth is in desperate need now more than ever to create frontier labs. With the new discoveries made by AI, it’s the scientists, most importantly, whom will need to handle these discoveries with practiced care.
November 16, 2025 at 5:10 PM
A perpetual universal global fund for scientists is what’s needed today. Earth is in desperate need now more than ever to create frontier labs. With the new discoveries made by AI, it’s the scientists, most importantly, whom will need to handle these discoveries with practiced care.
Reposted by AlphaFold Unofficial
🔗 Evolutionary and structural bioinformatics identifies GPR89 as a conserved member of the LIMR protein superfamily. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.cs...
📚 CSBJ: www.csbj.org
#StructuralBiology #ComputationalBiology #Evolution #ProteinScience #AlphaFold
📚 CSBJ: www.csbj.org
#StructuralBiology #ComputationalBiology #Evolution #ProteinScience #AlphaFold
November 16, 2025 at 1:47 PM
🔗 Evolutionary and structural bioinformatics identifies GPR89 as a conserved member of the LIMR protein superfamily. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.cs...
📚 CSBJ: www.csbj.org
#StructuralBiology #ComputationalBiology #Evolution #ProteinScience #AlphaFold
📚 CSBJ: www.csbj.org
#StructuralBiology #ComputationalBiology #Evolution #ProteinScience #AlphaFold
Scientific research and studies should be the first biggest focus for funding in Silicon Valley. AI without a scientist is a hammer without a hand.
November 15, 2025 at 8:02 PM
Scientific research and studies should be the first biggest focus for funding in Silicon Valley. AI without a scientist is a hammer without a hand.
Reposted by AlphaFold Unofficial
A nanoluciferase-tagged Schmallenberg virus (SBV): an efficient tool for measuring and tracking viral infection dynamics. Published Open Access and fee-free in JMM using a Publish and read agreement: doi.org/10.1099/jmm.... #JMM #PublishAndRead
November 15, 2025 at 12:01 PM
A nanoluciferase-tagged Schmallenberg virus (SBV): an efficient tool for measuring and tracking viral infection dynamics. Published Open Access and fee-free in JMM using a Publish and read agreement: doi.org/10.1099/jmm.... #JMM #PublishAndRead
Reposted by AlphaFold Unofficial
#bcnspiracy25 #diversspiracy #updatespiracy Óscar Huertas Rosales nos pone un éxito de la IA, la predicción de la conformación tridimensional de proteínas. Un problema muy difícil que está en camino de su solución (AlphaFold aún no resuelve el problema completo).
November 15, 2025 at 10:58 AM
#bcnspiracy25 #diversspiracy #updatespiracy Óscar Huertas Rosales nos pone un éxito de la IA, la predicción de la conformación tridimensional de proteínas. Un problema muy difícil que está en camino de su solución (AlphaFold aún no resuelve el problema completo).
Reposted by AlphaFold Unofficial
📣 New Podcast! "The AI Scientists Are Here (And They're Rewriting Everything)" on @Spreaker #ai #aiinscience #aimedicine #alphafold #artificialintelligence #autonomousai #breakthrough #deepmind #discovery #drugdiscovery #futureofscience #innovation #mindblown #research #scienceandtech #stem
The AI Scientists Are Here (And They're Rewriting Everything)
What if the next Einstein, Curie, or Da Vinci isn't a person at all? What if the greatest scientific minds of our generation are being built, not born? The revolution is already here, and it’s moving faster than you can imagine.
Welcome to The Eureka Engine, the podcast that takes you to the front lines of the new scientific revolution—one powered entirely by artificial intelligence. We're not talking about AI as a simple tool; we're talking about the dawn of the autonomous AI scientist. These are digital minds that can do it all: form a hypothesis, conduct experiments, and make world-changing discoveries while we sleep.
Join us as we uncover the jaw-dropping breakthroughs that were impossible just a few years ago. We'll show you how AI is deciphering burnt ancient scrolls from Herculaneum, discovering antibiotics for humanity's worst superbugs, and uncovering lost cities and geoglyphs in the desert. We'll dive into how systems like AlphaFold solved the grand challenge of protein structures and how Google's GNoME discovered thousands of new materials in record time.
This is the story of how AI is fundamentally reshaping chemistry, physics, medicine, and our very understanding of the universe. If you want to witness the single greatest acceleration of human knowledge in history, you've come to the right place. Follow us now and plug into the new age of discovery.
www.spreaker.com
November 15, 2025 at 9:40 AM
📣 New Podcast! "The AI Scientists Are Here (And They're Rewriting Everything)" on @Spreaker #ai #aiinscience #aimedicine #alphafold #artificialintelligence #autonomousai #breakthrough #deepmind #discovery #drugdiscovery #futureofscience #innovation #mindblown #research #scienceandtech #stem
Reposted by AlphaFold Unofficial
Experiments must be in the loop. Automation helps, but the real bottleneck is choosing the right optimisation targets and defining what “good” looks like.
AlphaFold succeeded because protein structures could be validated experimentally. Not all biological tasks have that luxury. 5/8
AlphaFold succeeded because protein structures could be validated experimentally. Not all biological tasks have that luxury. 5/8
November 15, 2025 at 6:04 AM
Experiments must be in the loop. Automation helps, but the real bottleneck is choosing the right optimisation targets and defining what “good” looks like.
AlphaFold succeeded because protein structures could be validated experimentally. Not all biological tasks have that luxury. 5/8
AlphaFold succeeded because protein structures could be validated experimentally. Not all biological tasks have that luxury. 5/8
Reposted by AlphaFold Unofficial
The second direction: post-AlphaFold biology. Architectures built specifically for molecules, not NLP models.
To replicate AlphaFold’s impact, we need:
• high-quality experimental benchmarks
• sufficient data volume
• new architectures
• tight integration with wet-lab validation 5/8
To replicate AlphaFold’s impact, we need:
• high-quality experimental benchmarks
• sufficient data volume
• new architectures
• tight integration with wet-lab validation 5/8
November 15, 2025 at 6:04 AM
The second direction: post-AlphaFold biology. Architectures built specifically for molecules, not NLP models.
To replicate AlphaFold’s impact, we need:
• high-quality experimental benchmarks
• sufficient data volume
• new architectures
• tight integration with wet-lab validation 5/8
To replicate AlphaFold’s impact, we need:
• high-quality experimental benchmarks
• sufficient data volume
• new architectures
• tight integration with wet-lab validation 5/8
Reposted by AlphaFold Unofficial
For fun, I thought I'd compare different AlphaFold softwares on a random sample of 1000 proteins I'm working on. AlphaFold2/ColabFold is still the most accurate, but slowest and most buggy (the run randomly stopped at the 975th protein). Boltz is the best for speed.
November 15, 2025 at 2:32 AM
For fun, I thought I'd compare different AlphaFold softwares on a random sample of 1000 proteins I'm working on. AlphaFold2/ColabFold is still the most accurate, but slowest and most buggy (the run randomly stopped at the 975th protein). Boltz is the best for speed.
Reposted by AlphaFold Unofficial
The capabilities are real:
• AlphaFold: 214M protein structures (Nobel Prize 2024)
• Insilico Medicine: AI drug to Phase IIa in 30 months vs 4-6 years
• IDx-DR: First FDA-approved autonomous AI diagnostic
But here's what matters more: implementation.
• AlphaFold: 214M protein structures (Nobel Prize 2024)
• Insilico Medicine: AI drug to Phase IIa in 30 months vs 4-6 years
• IDx-DR: First FDA-approved autonomous AI diagnostic
But here's what matters more: implementation.
November 14, 2025 at 10:22 AM
The capabilities are real:
• AlphaFold: 214M protein structures (Nobel Prize 2024)
• Insilico Medicine: AI drug to Phase IIa in 30 months vs 4-6 years
• IDx-DR: First FDA-approved autonomous AI diagnostic
But here's what matters more: implementation.
• AlphaFold: 214M protein structures (Nobel Prize 2024)
• Insilico Medicine: AI drug to Phase IIa in 30 months vs 4-6 years
• IDx-DR: First FDA-approved autonomous AI diagnostic
But here's what matters more: implementation.
Reposted by AlphaFold Unofficial
Thanks! Through the NSF NAIRR pilot program we were paired with an industry partner to support our AI-related project. The program connected us with NVIDIA and they provided three months of access to a 256-GPU DGX cluster, which is where we ran all of the AlphaFold predictions.
November 14, 2025 at 12:10 AM
Thanks! Through the NSF NAIRR pilot program we were paired with an industry partner to support our AI-related project. The program connected us with NVIDIA and they provided three months of access to a 256-GPU DGX cluster, which is where we ran all of the AlphaFold predictions.
Reposted by AlphaFold Unofficial
Food for thought/discussion.
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November 13, 2025 at 7:41 PM
Food for thought/discussion.
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Reposted by AlphaFold Unofficial
ICYMI: New online: AlphaSync is an enhanced AlphaFold structure database synchronized with UniProt
AlphaSync is an enhanced AlphaFold structure database synchronized with UniProt
Nature Structural & Molecular Biology, Published online: 11 November 2025; doi:10.1038/s41594-025-01719-xAlphaSync synchronizes AlphaFold Protein Structure Database predictions with UniProt sequences, providing up-to-date protein structures with residue-level annotations for humans, model organisms and pathogens through an accessible web interface and application programming interface.
go.nature.com
November 13, 2025 at 8:36 AM
ICYMI: New online: AlphaSync is an enhanced AlphaFold structure database synchronized with UniProt
Reposted by AlphaFold Unofficial
Thrilled to share that the final piece of my PhD work is now on bioRxiv! biorxiv.org/content/10.1... With support from @nvidia and the @NSF, we used AlphaFold to screen 1.6M+ protein pairs, revealing thousands of potential novel PPIs. All data can be viewed at predictomes.org/hp
Proteome-wide in silico screening for human protein-protein interactions
Protein-protein interactions (PPIs) drive virtually all biological processes, yet most PPIs have not been identified and even more remain structurally unresolved. We developed a two-step computational...
biorxiv.org
November 12, 2025 at 9:26 PM
Thrilled to share that the final piece of my PhD work is now on bioRxiv! biorxiv.org/content/10.1... With support from @nvidia and the @NSF, we used AlphaFold to screen 1.6M+ protein pairs, revealing thousands of potential novel PPIs. All data can be viewed at predictomes.org/hp
Reposted by AlphaFold Unofficial
🔗 Improving prediction accuracy in chimeric proteins with windowed multiple sequence alignment. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.cs...
📚 CSBJ: www.csbj.org
#StructuralBiology #Biophysics #Bioinformatics #ProteinStructurePrediction #AlphaFold
📚 CSBJ: www.csbj.org
#StructuralBiology #Biophysics #Bioinformatics #ProteinStructurePrediction #AlphaFold
November 12, 2025 at 7:04 PM
🔗 Improving prediction accuracy in chimeric proteins with windowed multiple sequence alignment. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.cs...
📚 CSBJ: www.csbj.org
#StructuralBiology #Biophysics #Bioinformatics #ProteinStructurePrediction #AlphaFold
📚 CSBJ: www.csbj.org
#StructuralBiology #Biophysics #Bioinformatics #ProteinStructurePrediction #AlphaFold
Reposted by AlphaFold Unofficial
Prof Ho's fellowship project will combine the capabilities of specialized scientific AI models like AlphaFold with more general AI models that can reason about science without understanding it deeply, building a stepping stone toward scientific artificial general intelligence.
November 12, 2025 at 5:33 PM
Prof Ho's fellowship project will combine the capabilities of specialized scientific AI models like AlphaFold with more general AI models that can reason about science without understanding it deeply, building a stepping stone toward scientific artificial general intelligence.
Reposted by AlphaFold Unofficial
Quantum isn't hype—it's buildable.
Follow @TheTechWorldPod for AI/quantum breakdowns, no-buzz scripts.
#AI #Quantum #WillowChip #AlphaFold spti.fi/dRbvXjf
Follow @TheTechWorldPod for AI/quantum breakdowns, no-buzz scripts.
#AI #Quantum #WillowChip #AlphaFold spti.fi/dRbvXjf
Spotify – Web Player
spti.fi
November 12, 2025 at 5:09 PM
Quantum isn't hype—it's buildable.
Follow @TheTechWorldPod for AI/quantum breakdowns, no-buzz scripts.
#AI #Quantum #WillowChip #AlphaFold spti.fi/dRbvXjf
Follow @TheTechWorldPod for AI/quantum breakdowns, no-buzz scripts.
#AI #Quantum #WillowChip #AlphaFold spti.fi/dRbvXjf
Reposted by AlphaFold Unofficial
New online: AlphaSync is an enhanced AlphaFold structure database synchronized with UniProt
AlphaSync is an enhanced AlphaFold structure database synchronized with UniProt
Nature Structural & Molecular Biology, Published online: 11 November 2025; doi:10.1038/s41594-025-01719-xAlphaSync synchronizes AlphaFold Protein Structure Database predictions with UniProt sequences, providing up-to-date protein structures with residue-level annotations for humans, model organisms and pathogens through an accessible web interface and application programming interface.
go.nature.com
November 12, 2025 at 8:35 AM
New online: AlphaSync is an enhanced AlphaFold structure database synchronized with UniProt
Reposted by AlphaFold Unofficial
Part of HTGAA Week 4 is to write a proposal on an In-silico Bacteriophage Engineering.
My proposal: 'ArmoredPhage' 🛡️
My goal: Engineer a Thermostable MS2 Bacteriophage Using Protein Design Techniques.
Check it out:
djosergenomics.github.io/Armored-Phag...
#HTGAA #synbio #AlphaFold #proteindesign
My proposal: 'ArmoredPhage' 🛡️
My goal: Engineer a Thermostable MS2 Bacteriophage Using Protein Design Techniques.
Check it out:
djosergenomics.github.io/Armored-Phag...
#HTGAA #synbio #AlphaFold #proteindesign
November 11, 2025 at 5:21 PM
Part of HTGAA Week 4 is to write a proposal on an In-silico Bacteriophage Engineering.
My proposal: 'ArmoredPhage' 🛡️
My goal: Engineer a Thermostable MS2 Bacteriophage Using Protein Design Techniques.
Check it out:
djosergenomics.github.io/Armored-Phag...
#HTGAA #synbio #AlphaFold #proteindesign
My proposal: 'ArmoredPhage' 🛡️
My goal: Engineer a Thermostable MS2 Bacteriophage Using Protein Design Techniques.
Check it out:
djosergenomics.github.io/Armored-Phag...
#HTGAA #synbio #AlphaFold #proteindesign
Reposted by AlphaFold Unofficial
User annotations are visible on the 2D and 3D tracks, but they are only applied for the duration of the user session and not saved.
The AlphaFold Database provides open access to over 240 million protein structure predictions. The resource is a collaboration between EMBL-EBI and Google DeepMind.
The AlphaFold Database provides open access to over 240 million protein structure predictions. The resource is a collaboration between EMBL-EBI and Google DeepMind.
November 11, 2025 at 2:24 PM
User annotations are visible on the 2D and 3D tracks, but they are only applied for the duration of the user session and not saved.
The AlphaFold Database provides open access to over 240 million protein structure predictions. The resource is a collaboration between EMBL-EBI and Google DeepMind.
The AlphaFold Database provides open access to over 240 million protein structure predictions. The resource is a collaboration between EMBL-EBI and Google DeepMind.
Reposted by AlphaFold Unofficial
Reposted by AlphaFold Unofficial
Hi Anni, have you tried our bioinfirmatics AI assistant Pipette.bio? It can access AlphaFold predictions for a given protein, along with several other protein databases.
November 10, 2025 at 12:06 PM
Hi Anni, have you tried our bioinfirmatics AI assistant Pipette.bio? It can access AlphaFold predictions for a given protein, along with several other protein databases.
Reposted by AlphaFold Unofficial
We next turned to AlphaFold to understand how MTR interacts with its binding partners. AlphaFold of MTR with its rescue partner MTRR threw a surprise our way: AF3 suggested two regions of interaction with one newly suggested that deviated from the previously known interaction with MTRR’s FMN domain.
November 11, 2025 at 1:13 PM
We next turned to AlphaFold to understand how MTR interacts with its binding partners. AlphaFold of MTR with its rescue partner MTRR threw a surprise our way: AF3 suggested two regions of interaction with one newly suggested that deviated from the previously known interaction with MTRR’s FMN domain.
Reposted by AlphaFold Unofficial
AlphaFold Database users can now temporarily integrate and visualise their own protein annotations, making the resource a more interactive and personalised platform for structural bioinformatics analysis.
www.ebi.ac.uk/about/news/u...
#AlphaFold
www.ebi.ac.uk/about/news/u...
#AlphaFold
AlphaFold Database launches custom annotations feature
The AlphaFold Database (AlphaFold DB) has introduced a new functionality that enables users to integrate and visualise custom sequence annotations. These annotations are processed in the browser for t...
www.ebi.ac.uk
November 11, 2025 at 2:23 PM
AlphaFold Database users can now temporarily integrate and visualise their own protein annotations, making the resource a more interactive and personalised platform for structural bioinformatics analysis.
www.ebi.ac.uk/about/news/u...
#AlphaFold
www.ebi.ac.uk/about/news/u...
#AlphaFold
