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
Turkeys carry about 18,000 to 22,000 protein-coding genes.
Inside those cells, trillions of protein molecules build structure, repair damage, and keep the bird alive. About twenty thousand protein-coding genes and countless protein molecules operate in every cell.
A meal is never simple biology.
Inside those cells, trillions of protein molecules build structure, repair damage, and keep the bird alive. About twenty thousand protein-coding genes and countless protein molecules operate in every cell.
A meal is never simple biology.
November 25, 2025 at 10:17 PM
Turkeys carry about 18,000 to 22,000 protein-coding genes.
Inside those cells, trillions of protein molecules build structure, repair damage, and keep the bird alive. About twenty thousand protein-coding genes and countless protein molecules operate in every cell.
A meal is never simple biology.
Inside those cells, trillions of protein molecules build structure, repair damage, and keep the bird alive. About twenty thousand protein-coding genes and countless protein molecules operate in every cell.
A meal is never simple biology.
Reposted by AlphaFold Unofficial
Besides, one could easily argue that AlphaFold (Ben's example) indeed made a paradigm shift.
alphafold.ebi.ac.uk
alphafold.ebi.ac.uk
November 25, 2025 at 4:40 PM
Besides, one could easily argue that AlphaFold (Ben's example) indeed made a paradigm shift.
alphafold.ebi.ac.uk
alphafold.ebi.ac.uk
Reposted by AlphaFold Unofficial
The Download: the future of AlphaFold, and chatbot privacy concerns #Science #TechnologyandEngineering #AlphaFold #ChatbotPrivacy #AIethics
The Download: the future of AlphaFold, and chatbot privacy concerns
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. What’s next for AlphaFold: A conversation with a Google...
purescience.news
November 25, 2025 at 4:01 PM
The Download: the future of AlphaFold, and chatbot privacy concerns #Science #TechnologyandEngineering #AlphaFold #ChatbotPrivacy #AIethics
Reposted by AlphaFold Unofficial
From McCulloch-Pitts neurons (1943) to ChatGPT: 82 years of AI evolution. Explore breakthrough moments including Turing's test, AI winters, AlexNet's revolution, transformers, and AlphaFold. #AI #MachineLearning #TechNews #Tech #News
The complete timeline:
The complete timeline:
The complete evolution of artificial intelligence: from neural networks to generative AI - The Urban Herald
Explore the complete evolution of Artificial Intelligence, from 1943 neural networks to 2025 generative AI. Discover 82 years of breakthroughs, setbacks & transformative innovations.
theurb.co
November 25, 2025 at 12:58 PM
From McCulloch-Pitts neurons (1943) to ChatGPT: 82 years of AI evolution. Explore breakthrough moments including Turing's test, AI winters, AlexNet's revolution, transformers, and AlphaFold. #AI #MachineLearning #TechNews #Tech #News
The complete timeline:
The complete timeline:
Reposted by AlphaFold Unofficial
What’s next for AlphaFold: A conversation with a Google DeepMind Nobel laureate | MIT Technology Review www.technologyreview.com/2025/11/24/1...
What’s next for AlphaFold: A conversation with a Google DeepMind Nobel laureate
“I’ll be shocked if we don’t see more and more LLM impact on science,” says John Jumper.
www.technologyreview.com
November 25, 2025 at 8:43 AM
What’s next for AlphaFold: A conversation with a Google DeepMind Nobel laureate | MIT Technology Review www.technologyreview.com/2025/11/24/1...
Reposted by AlphaFold Unofficial
AlphaFold Database Structure Extractor: a web server and API to download AlphaFold structures using common protein accessions | BMC Bioinformatics
https://www.europesays.com/ie/198966/
Background The AlphaFoldDB Structure Extractor (https://project.iith.ac.in/sharmaglab/alphafoldextractor/) is …
https://www.europesays.com/ie/198966/
Background The AlphaFoldDB Structure Extractor (https://project.iith.ac.in/sharmaglab/alphafoldextractor/) is …
AlphaFold Database Structure Extractor: a web server and API to download AlphaFold structures using common protein accessions | BMC Bioinformatics - Ireland
Background
www.europesays.com
November 25, 2025 at 7:45 AM
AlphaFold Database Structure Extractor: a web server and API to download AlphaFold structures using common protein accessions | BMC Bioinformatics
https://www.europesays.com/ie/198966/
Background The AlphaFoldDB Structure Extractor (https://project.iith.ac.in/sharmaglab/alphafoldextractor/) is …
https://www.europesays.com/ie/198966/
Background The AlphaFoldDB Structure Extractor (https://project.iith.ac.in/sharmaglab/alphafoldextractor/) is …
Reposted by AlphaFold Unofficial
Google DeepMind was created to use AI for world-changing science and achieved that with AlphaFold. Nature reports on how the advent of large language models has raised questions about DeepMind’s future and whether it can achieve blockbuster successes in other fields of science. 🧪
Google DeepMind won a Nobel prize for AI: can it produce the next big breakthrough?
The company was created to use AI for world- changing science — and achieved that with AlphaFold. But the advent of large language models raises deep questions about the future of DeepMind.
go.nature.com
November 24, 2025 at 5:12 PM
Google DeepMind was created to use AI for world-changing science and achieved that with AlphaFold. Nature reports on how the advent of large language models has raised questions about DeepMind’s future and whether it can achieve blockbuster successes in other fields of science. 🧪
Reposted by AlphaFold Unofficial
It was five years ago this week that AlphaFold 2’s debut took scientists by surprise. Now that the hype has died down, what impact has AlphaFold really had? How are scientists using it? And what’s next? We talked to John Jumper (as well as a few other scientists) to find out.
What’s next for AlphaFold: A conversation with a Google DeepMind Nobel laureate
“I’ll be shocked if we don’t see more and more LLM impact on science,” says John Jumper.
www.technologyreview.com
November 24, 2025 at 4:29 PM
It was five years ago this week that AlphaFold 2’s debut took scientists by surprise. Now that the hype has died down, what impact has AlphaFold really had? How are scientists using it? And what’s next? We talked to John Jumper (as well as a few other scientists) to find out.
Reposted by AlphaFold Unofficial
Protein domains have no single definition, so why stick to one segmentation? 🧩
Instead of forcing structures into rigid classifications, we built AFragmenter. It uses AlphaFold PAE networks for a tuneable approach to domain parsing.
You control the granularity. 👇
🔗 doi.org/10.1093/bioi...
Instead of forcing structures into rigid classifications, we built AFragmenter. It uses AlphaFold PAE networks for a tuneable approach to domain parsing.
You control the granularity. 👇
🔗 doi.org/10.1093/bioi...
November 24, 2025 at 4:01 PM
Protein domains have no single definition, so why stick to one segmentation? 🧩
Instead of forcing structures into rigid classifications, we built AFragmenter. It uses AlphaFold PAE networks for a tuneable approach to domain parsing.
You control the granularity. 👇
🔗 doi.org/10.1093/bioi...
Instead of forcing structures into rigid classifications, we built AFragmenter. It uses AlphaFold PAE networks for a tuneable approach to domain parsing.
You control the granularity. 👇
🔗 doi.org/10.1093/bioi...
Reposted by AlphaFold Unofficial
Finally peptides for 5 predicted proteins mapped to multiple regions in the genome. We believe that most of these peptides were also produced by aberrant translation. LINE 1 ORF1 would be a good example, present in hundreds of regions and with more than 50 peptides in cancers.
November 24, 2025 at 3:58 PM
Finally peptides for 5 predicted proteins mapped to multiple regions in the genome. We believe that most of these peptides were also produced by aberrant translation. LINE 1 ORF1 would be a good example, present in hundreds of regions and with more than 50 peptides in cancers.
Reposted by AlphaFold Unofficial
Another 6 coding genes derived from retroviruses, and 3 of these were detected exclusively in placenta. This is remarkable because up to now all well-known co-opted retroviral genes in human placenta were derived from env ORFs. All three PeptideAtlas-supported novel ORFs were ERV gag ORFs.
November 24, 2025 at 3:49 PM
Another 6 coding genes derived from retroviruses, and 3 of these were detected exclusively in placenta. This is remarkable because up to now all well-known co-opted retroviral genes in human placenta were derived from env ORFs. All three PeptideAtlas-supported novel ORFs were ERV gag ORFs.
Reposted by AlphaFold Unofficial
The other 14 genes can be split into two groups. Eight derived from gene duplications. Many of these have undergone considerable changes and may have been pseudogenes prior to gaining novel function. These genes include C5orf60 (now SPATA31J1), CFAP144P1, MSL3P1 (now MSL3B ) and ZNF840P.
November 24, 2025 at 3:43 PM
The other 14 genes can be split into two groups. Eight derived from gene duplications. Many of these have undergone considerable changes and may have been pseudogenes prior to gaining novel function. These genes include C5orf60 (now SPATA31J1), CFAP144P1, MSL3P1 (now MSL3B ) and ZNF840P.
Reposted by AlphaFold Unofficial
AI integration into healthcare carries a long & storied history. From Watson identifying the correct diagnosis from pathology slides to Nobel prize winning AlphaFold predicting 3D computational structure of proteins from just amino acid sequences, there's no shortage of jaw dropping use cases
November 24, 2025 at 2:21 PM
AI integration into healthcare carries a long & storied history. From Watson identifying the correct diagnosis from pathology slides to Nobel prize winning AlphaFold predicting 3D computational structure of proteins from just amino acid sequences, there's no shortage of jaw dropping use cases
Reposted by AlphaFold Unofficial
ProteinCHAOS runs entirely in the browser and lets you choose how to visualize your protein structures.
It supports PDB files from the PDB and AlphaFold servers and offers several visual themes so you can "paint" abstract art with protein traces. I hope it helps you create some interesting images!
It supports PDB files from the PDB and AlphaFold servers and offers several visual themes so you can "paint" abstract art with protein traces. I hope it helps you create some interesting images!
November 23, 2025 at 11:18 PM
ProteinCHAOS runs entirely in the browser and lets you choose how to visualize your protein structures.
It supports PDB files from the PDB and AlphaFold servers and offers several visual themes so you can "paint" abstract art with protein traces. I hope it helps you create some interesting images!
It supports PDB files from the PDB and AlphaFold servers and offers several visual themes so you can "paint" abstract art with protein traces. I hope it helps you create some interesting images!
Reposted by AlphaFold Unofficial
From Sameer Velankar & colleagues in @narjournal.bsky.social #NARDatabaseIssue | #AlphaFold #Protein #Structure #Database 2025: a redesigned interface and updated structural coverage | #Bioinformatics #Proteomics #OpenScience #AFDB 🧪🔓 CC/ @ebi.embl.org
⬇️
academic.oup.com/nar/advance-...
⬇️
academic.oup.com/nar/advance-...
AlphaFold Protein Structure Database 2025: a redesigned interface and updated structural coverage
Abstract. The AlphaFold Protein Structure Database (AFDB; https://alphafold.ebi.ac.uk), developed by EMBL–EBI and Google DeepMind, provides open access to
academic.oup.com
November 24, 2025 at 12:56 AM
From Sameer Velankar & colleagues in @narjournal.bsky.social #NARDatabaseIssue | #AlphaFold #Protein #Structure #Database 2025: a redesigned interface and updated structural coverage | #Bioinformatics #Proteomics #OpenScience #AFDB 🧪🔓 CC/ @ebi.embl.org
⬇️
academic.oup.com/nar/advance-...
⬇️
academic.oup.com/nar/advance-...
Reposted by AlphaFold Unofficial
Advances in neuroscience, pharmacology and artificial intelligence are coming together to create a new threat. We must fund scientists to counter defend.
www.theguardian.com/world/2025/n...
www.theguardian.com/world/2025/n...
Mind-altering ‘brain weapons’ no longer only science fiction, say researchers
UK academics say latest chemicals are ‘wake-up call’ and urge global action to stop weaponisation of neuroscience
www.theguardian.com
November 22, 2025 at 4:44 PM
Advances in neuroscience, pharmacology and artificial intelligence are coming together to create a new threat. We must fund scientists to counter defend.
www.theguardian.com/world/2025/n...
www.theguardian.com/world/2025/n...
Reposted by AlphaFold Unofficial
Cannot emphasize enough that if SETI picks up a signal that turns out to be DNA sequence, you absolutely do not under any circumstances synthesize that shit, this is why the good lord made AlphaFold
November 21, 2025 at 3:11 AM
Cannot emphasize enough that if SETI picks up a signal that turns out to be DNA sequence, you absolutely do not under any circumstances synthesize that shit, this is why the good lord made AlphaFold
Reposted by AlphaFold Unofficial
🧪 Training includes:
• Cryo-EM + SPA
• Protein purification + interaction assays
• Computational structural biology (AlphaFold, modelling pipelines)
Open to UK applicants and international candidates.
💰 Fully funded (UKRI rate stipend + fees).
📅 Deadline: 7 January 2026
• Cryo-EM + SPA
• Protein purification + interaction assays
• Computational structural biology (AlphaFold, modelling pipelines)
Open to UK applicants and international candidates.
💰 Fully funded (UKRI rate stipend + fees).
📅 Deadline: 7 January 2026
YBDTP – BBSRC Yorkshire Bioscience Doctoral Training Partnership
yorkshirebiosciencedtp.ac.uk
November 21, 2025 at 9:34 AM
🧪 Training includes:
• Cryo-EM + SPA
• Protein purification + interaction assays
• Computational structural biology (AlphaFold, modelling pipelines)
Open to UK applicants and international candidates.
💰 Fully funded (UKRI rate stipend + fees).
📅 Deadline: 7 January 2026
• Cryo-EM + SPA
• Protein purification + interaction assays
• Computational structural biology (AlphaFold, modelling pipelines)
Open to UK applicants and international candidates.
💰 Fully funded (UKRI rate stipend + fees).
📅 Deadline: 7 January 2026
Reposted by AlphaFold Unofficial
Register for the Nov 24 Virtual Office Hour on Exploring CSMs at RCSB PDB
Learn how to use RCSB PDB features to navigate 3D Computed Structure Models from AlphaFold DB and ModelArchive
Learn how to use RCSB PDB features to navigate 3D Computed Structure Models from AlphaFold DB and ModelArchive
PDB101: Register for the Nov 24 Virtual Office Hour on Exploring CSMs at RCSB.org
PDB-101: Training, Outreach, and Education portal of RCSB PDB
pdb101.rcsb.org
November 20, 2025 at 5:44 PM
Register for the Nov 24 Virtual Office Hour on Exploring CSMs at RCSB PDB
Learn how to use RCSB PDB features to navigate 3D Computed Structure Models from AlphaFold DB and ModelArchive
Learn how to use RCSB PDB features to navigate 3D Computed Structure Models from AlphaFold DB and ModelArchive
Reposted by AlphaFold Unofficial
📢 Join us for the next GlySpace Alliance Webinar!
🗓️ Tuesday, December 2, 2025 | 10 AM ET
🎙️Dr. Kelley Moremen & Chin Huang present: “Modeling glycans with AlphaFold 3: capabilities, caveats, and limitations”
🗒️Details: wiki.glygen.org/GlySpace_All...
#glycotime #glygen #researchtools
🗓️ Tuesday, December 2, 2025 | 10 AM ET
🎙️Dr. Kelley Moremen & Chin Huang present: “Modeling glycans with AlphaFold 3: capabilities, caveats, and limitations”
🗒️Details: wiki.glygen.org/GlySpace_All...
#glycotime #glygen #researchtools
November 20, 2025 at 5:43 PM
📢 Join us for the next GlySpace Alliance Webinar!
🗓️ Tuesday, December 2, 2025 | 10 AM ET
🎙️Dr. Kelley Moremen & Chin Huang present: “Modeling glycans with AlphaFold 3: capabilities, caveats, and limitations”
🗒️Details: wiki.glygen.org/GlySpace_All...
#glycotime #glygen #researchtools
🗓️ Tuesday, December 2, 2025 | 10 AM ET
🎙️Dr. Kelley Moremen & Chin Huang present: “Modeling glycans with AlphaFold 3: capabilities, caveats, and limitations”
🗒️Details: wiki.glygen.org/GlySpace_All...
#glycotime #glygen #researchtools
Advances in neuroscience, pharmacology and artificial intelligence are coming together to create a new threat. We must fund scientists to counter defend.
www.theguardian.com/world/2025/n...
www.theguardian.com/world/2025/n...
Mind-altering ‘brain weapons’ no longer only science fiction, say researchers
UK academics say latest chemicals are ‘wake-up call’ and urge global action to stop weaponisation of neuroscience
www.theguardian.com
November 22, 2025 at 4:44 PM
Advances in neuroscience, pharmacology and artificial intelligence are coming together to create a new threat. We must fund scientists to counter defend.
www.theguardian.com/world/2025/n...
www.theguardian.com/world/2025/n...
Reposted by AlphaFold Unofficial
How do out binders bind HRas selectively? Mapping the binding modes of our initial non-isoform selective was relatively easy. Alphafold predicted the site of binding, which we confirmed biochemically and by a really nice X-ray structure…9/n
November 19, 2025 at 6:10 PM
How do out binders bind HRas selectively? Mapping the binding modes of our initial non-isoform selective was relatively easy. Alphafold predicted the site of binding, which we confirmed biochemically and by a really nice X-ray structure…9/n
Reposted by AlphaFold Unofficial
Periodicity-aware deep learning for polymers
https://www.europesays.com/2581972/
Abramson, J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630, 493–500 (2024). Article Google…
https://www.europesays.com/2581972/
Abramson, J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630, 493–500 (2024). Article Google…
Periodicity-aware deep learning for polymers - EUROPE SAYS
Abramson, J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630, 493–500 (2024).
www.europesays.com
November 20, 2025 at 12:46 PM
Periodicity-aware deep learning for polymers
https://www.europesays.com/2581972/
Abramson, J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630, 493–500 (2024). Article Google…
https://www.europesays.com/2581972/
Abramson, J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630, 493–500 (2024). Article Google…
Reposted by AlphaFold Unofficial
Periodicity-aware deep learning for polymers
https://www.europesays.com/2581972/
Abramson, J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630, 493–500 (2024). Article Google…
https://www.europesays.com/2581972/
Abramson, J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630, 493–500 (2024). Article Google…
Periodicity-aware deep learning for polymers - EUROPE SAYS
Abramson, J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630, 493–500 (2024).
www.europesays.com
November 20, 2025 at 1:00 PM
Periodicity-aware deep learning for polymers
https://www.europesays.com/2581972/
Abramson, J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630, 493–500 (2024). Article Google…
https://www.europesays.com/2581972/
Abramson, J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630, 493–500 (2024). Article Google…
Reposted by AlphaFold Unofficial
Lewis Kay on NMR’s Expanding Role in the Post–AlphaFold Era, from Eastern Analytical Symposium EAS 2025 www.spectroscopyonline.com/view/lewis-k... #NMRchat 🧲
November 20, 2025 at 4:33 PM
Lewis Kay on NMR’s Expanding Role in the Post–AlphaFold Era, from Eastern Analytical Symposium EAS 2025 www.spectroscopyonline.com/view/lewis-k... #NMRchat 🧲