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
Reposted by AlphaFold Unofficial
the more i learn about BioML the more i appreciate how ahead of its time AlphaFold2 was. so many concepts that apply across domains (confidence, recycling, triangle update, etc) can be traced back to AlphaFold
January 8, 2026 at 6:12 PM
the more i learn about BioML the more i appreciate how ahead of its time AlphaFold2 was. so many concepts that apply across domains (confidence, recycling, triangle update, etc) can be traced back to AlphaFold
Reposted by AlphaFold Unofficial
CB features: ✅ Diverse protein types (receptors, enzymes, synthetic binders) ✅ Monomers & oligomers ✅ Natural or synthetic (no MSA needed) ✅ Input: 2 structures (PDB or AlphaFold) ✅ Fast: ~3k variants in <1 min (RTX 4090) ✅ Scores single & multi-mutants
Code & user-friendly interface here:
Code & user-friendly interface here:
GitHub - alicetinglab/ConformationalBiasing: Code for designing biased protein states
Code for designing biased protein states. Contribute to alicetinglab/ConformationalBiasing development by creating an account on GitHub.
github.com
January 8, 2026 at 7:12 PM
CB features: ✅ Diverse protein types (receptors, enzymes, synthetic binders) ✅ Monomers & oligomers ✅ Natural or synthetic (no MSA needed) ✅ Input: 2 structures (PDB or AlphaFold) ✅ Fast: ~3k variants in <1 min (RTX 4090) ✅ Scores single & multi-mutants
Code & user-friendly interface here:
Code & user-friendly interface here:
Reposted by AlphaFold Unofficial
💻 Using the #fragment #screening analysis from our #FRAGSYS pipeline, combined with high quality #Google #Deepmind's #AlphaFold #Multimer (ColabFold) models of the #SACK1G dimer, we identified and #prioritised 13 #residues in a binding site of interest as likely #functionally #relevant.
January 9, 2026 at 10:41 AM
💻 Using the #fragment #screening analysis from our #FRAGSYS pipeline, combined with high quality #Google #Deepmind's #AlphaFold #Multimer (ColabFold) models of the #SACK1G dimer, we identified and #prioritised 13 #residues in a binding site of interest as likely #functionally #relevant.
Reposted by AlphaFold Unofficial
Our first foray into non-coding variation: structure-guided TF-DNA modelling with AlphaFold 3. Not a replacement for sequence-based predictors, but a complementary way to reason about mechanism. Nice collab with @simonbiddie.bsky.social academic.oup.com/nar/article/...
A structure-guided approach to noncoding variant evaluation for transcription factor binding using AlphaFold 3
Abstract. Noncoding single-nucleotide variants (SNVs) that alter transcription factor (TF) binding can affect gene expression and contribute to disease. Se
academic.oup.com
January 9, 2026 at 4:36 PM
Our first foray into non-coding variation: structure-guided TF-DNA modelling with AlphaFold 3. Not a replacement for sequence-based predictors, but a complementary way to reason about mechanism. Nice collab with @simonbiddie.bsky.social academic.oup.com/nar/article/...
Reposted by AlphaFold Unofficial
Day204 youtu.be/3gSy_yN9YBo alphafold #100daysofcode
how AlphaFold *actually* works
YouTube video by Looking Glass Universe
youtu.be
January 10, 2026 at 6:46 PM
Day204 youtu.be/3gSy_yN9YBo alphafold #100daysofcode
Reposted by AlphaFold Unofficial
Things like AlphaFold were great back when we had a scientific infrastructure. Without the PDB and CASP, how far would it have got? It’s a major issue when gigawatts of power are being diverted to train universal function approximators to come up with more believable lies.
January 11, 2026 at 4:33 AM
Things like AlphaFold were great back when we had a scientific infrastructure. Without the PDB and CASP, how far would it have got? It’s a major issue when gigawatts of power are being diverted to train universal function approximators to come up with more believable lies.
Reposted by AlphaFold Unofficial
My comment on “AlphaFold models of host-pathogen interactions elucidate the prevalence and structural modes of molecular mimicry”. 👇🏼
"I thank the authors for sharing this impressive large-scale analysis of AlphaFold models for…" — @kamounlab disq.us/p/34sf7oq
"I thank the authors for sharing this impressive large-scale analysis of AlphaFold models for…" — @kamounlab disq.us/p/34sf7oq
January 11, 2026 at 12:02 PM
My comment on “AlphaFold models of host-pathogen interactions elucidate the prevalence and structural modes of molecular mimicry”. 👇🏼
"I thank the authors for sharing this impressive large-scale analysis of AlphaFold models for…" — @kamounlab disq.us/p/34sf7oq
"I thank the authors for sharing this impressive large-scale analysis of AlphaFold models for…" — @kamounlab disq.us/p/34sf7oq
Reposted by AlphaFold Unofficial
The first two versions of Google's #alphafold software (to predict protein folding) were #opensource, including the one that earned its developers the 2024 Nobel Prize in Chemistry. There were no restrictions on commercial use. But the third and most recent version blocks free commercial use […]
Original post on fediscience.org
fediscience.org
January 11, 2026 at 3:44 PM
The first two versions of Google's #alphafold software (to predict protein folding) were #opensource, including the one that earned its developers the 2024 Nobel Prize in Chemistry. There were no restrictions on commercial use. But the third and most recent version blocks free commercial use […]
Reposted by AlphaFold Unofficial
IGC researchers have found a complementary way of interpreting changes in non-coding DNA that may contribute to disease using new 3D modelling methods, such as AlphaFold 3.
Read more here 👉 edin.ac/4pxFyoY
@jmarshlab.bsky.social
@cmvm-edinburghuni.bsky.social
Read more here 👉 edin.ac/4pxFyoY
@jmarshlab.bsky.social
@cmvm-edinburghuni.bsky.social
AI modelling tools offer alternative approach to understanding disease | Institute of Genetics and Cancer | Institute of Genetics and Cancer
Researchers have found a complementary way of interpreting changes in non-coding DNA that may contribute to disease.
edin.ac
January 12, 2026 at 11:05 AM
IGC researchers have found a complementary way of interpreting changes in non-coding DNA that may contribute to disease using new 3D modelling methods, such as AlphaFold 3.
Read more here 👉 edin.ac/4pxFyoY
@jmarshlab.bsky.social
@cmvm-edinburghuni.bsky.social
Read more here 👉 edin.ac/4pxFyoY
@jmarshlab.bsky.social
@cmvm-edinburghuni.bsky.social
Reposted by AlphaFold Unofficial
⚡️Fully funded #PhD position in my lab at Stockholm University / SciLifeLab! If you’re interested in #lichens, #symbiosis, fungal biology, or meta-omics, please apply. Deadline Feb 1. Read more here: su.varbi.com/en/what:job/...
January 12, 2026 at 2:15 PM
⚡️Fully funded #PhD position in my lab at Stockholm University / SciLifeLab! If you’re interested in #lichens, #symbiosis, fungal biology, or meta-omics, please apply. Deadline Feb 1. Read more here: su.varbi.com/en/what:job/...
Reposted by AlphaFold Unofficial
We call this approach Conformational Attention Analysis Tool (CAAT). Applying CAAT to fold switcher KaiB revealed 4 important sites, 3 of which had been identified previously through hundreds of AlphaFold runs. CAAT requires just 2 AlphaFold passes. It suggested a new double mutant.
January 5, 2026 at 3:28 PM
We call this approach Conformational Attention Analysis Tool (CAAT). Applying CAAT to fold switcher KaiB revealed 4 important sites, 3 of which had been identified previously through hundreds of AlphaFold runs. CAAT requires just 2 AlphaFold passes. It suggested a new double mutant.
Reposted by AlphaFold Unofficial
#IUCr2026 Pre-Congress Workshop: Structure Solution with Phenix
Offers lectures and tutorials on using Phenix for automated macromolecular structure determination and validation from xtal and cryoEM data, integrating predicted models like AlphaFold
event.fourwaves.com/...
Offers lectures and tutorials on using Phenix for automated macromolecular structure determination and validation from xtal and cryoEM data, integrating predicted models like AlphaFold
event.fourwaves.com/...
January 6, 2026 at 10:11 PM
#IUCr2026 Pre-Congress Workshop: Structure Solution with Phenix
Offers lectures and tutorials on using Phenix for automated macromolecular structure determination and validation from xtal and cryoEM data, integrating predicted models like AlphaFold
event.fourwaves.com/...
Offers lectures and tutorials on using Phenix for automated macromolecular structure determination and validation from xtal and cryoEM data, integrating predicted models like AlphaFold
event.fourwaves.com/...
Reposted by AlphaFold Unofficial
#AlphaFold has transformed biology by predicting protein & molecular structures and now extends to DNA/RNA. It’s used globally and is pushing toward DeepMind’s “AI co‑scientists” that help generate and test hypotheses.
#Google #DeepMind #AI #Science #ResearchSky
#Google #DeepMind #AI #Science #ResearchSky
AlphaFold Changed Science. After 5 Years, It’s Still Evolving
WIRED spoke with DeepMind’s Pushmeet Kohli about the recent past—and promising future—of the Nobel Prize-winning research project that changed biology and chemistry forever.
www.wired.com
January 7, 2026 at 3:33 PM
#AlphaFold has transformed biology by predicting protein & molecular structures and now extends to DNA/RNA. It’s used globally and is pushing toward DeepMind’s “AI co‑scientists” that help generate and test hypotheses.
#Google #DeepMind #AI #Science #ResearchSky
#Google #DeepMind #AI #Science #ResearchSky
Reposted by AlphaFold Unofficial
Meiner Meinung nach beginnt die Geschichte nicht mit Männern, die sich in Dartmouth treffen, sondern mit einer Frau.
Schauen wir uns mal diese (subjektive, stark reduzierte) Timeline an.
Schauen wir uns mal diese (subjektive, stark reduzierte) Timeline an.
January 8, 2026 at 3:24 PM
Meiner Meinung nach beginnt die Geschichte nicht mit Männern, die sich in Dartmouth treffen, sondern mit einer Frau.
Schauen wir uns mal diese (subjektive, stark reduzierte) Timeline an.
Schauen wir uns mal diese (subjektive, stark reduzierte) Timeline an.
Reposted by AlphaFold Unofficial
Der nächste Durchbruch kam im Jahr 2014 mit Ian Goodfellows Paper zu GANs (Generative Adversarial Networks), Modellen zur Generierung von Bildern. Danach kam eine Innovation nach der anderen: KI schlägt Mensch in AlphaGo, AlphaFold sagt Proteinstrukturen vorher, vor gut 3 Jahren …
January 8, 2026 at 3:33 PM
Der nächste Durchbruch kam im Jahr 2014 mit Ian Goodfellows Paper zu GANs (Generative Adversarial Networks), Modellen zur Generierung von Bildern. Danach kam eine Innovation nach der anderen: KI schlägt Mensch in AlphaGo, AlphaFold sagt Proteinstrukturen vorher, vor gut 3 Jahren …
Reposted by AlphaFold Unofficial
You're getting mad at straw men. I follow tons of anti-GenAI people and I haven't seen any of them complain about AI being used for things like Alphafold. People hate GenAI because it stole the works of thousands of artists/writers and is being used to drive those same creatives out of work
December 21, 2025 at 7:29 PM
You're getting mad at straw men. I follow tons of anti-GenAI people and I haven't seen any of them complain about AI being used for things like Alphafold. People hate GenAI because it stole the works of thousands of artists/writers and is being used to drive those same creatives out of work
Reposted by AlphaFold Unofficial
You ignore the progress that is being made in science by non scientists with AI. Alphafold, and material sciences use AI with a lot of success. It's not an Oracle that replaces your work. It can be a great enhancement, and produce slop just like most humans ,😄. Yes its here and will change stuff.
December 21, 2025 at 6:11 PM
You ignore the progress that is being made in science by non scientists with AI. Alphafold, and material sciences use AI with a lot of success. It's not an Oracle that replaces your work. It can be a great enhancement, and produce slop just like most humans ,😄. Yes its here and will change stuff.
Reposted by AlphaFold Unofficial
Can we please please please start articles about AI with a disambiguation about what kind exactly we are talking about?
AlphaFold is very much different from generative AI, both in the underlying technology and in domain it is used.
AlphaFold is very much different from generative AI, both in the underlying technology and in domain it is used.
December 21, 2025 at 3:32 AM
Can we please please please start articles about AI with a disambiguation about what kind exactly we are talking about?
AlphaFold is very much different from generative AI, both in the underlying technology and in domain it is used.
AlphaFold is very much different from generative AI, both in the underlying technology and in domain it is used.
Reposted by AlphaFold Unofficial
Alphafold, the 2020-era Google AI innovation, has owned protein structure, and AF3, its newest iteration, predicts interactions with nucleic acids DNA, RNA, and it increasingly docks small molecules (drugs).
THAT is public interest, unlike 99% of what AI does.
THAT is public interest, unlike 99% of what AI does.
December 20, 2025 at 8:01 PM
Alphafold, the 2020-era Google AI innovation, has owned protein structure, and AF3, its newest iteration, predicts interactions with nucleic acids DNA, RNA, and it increasingly docks small molecules (drugs).
THAT is public interest, unlike 99% of what AI does.
THAT is public interest, unlike 99% of what AI does.
Reposted by AlphaFold Unofficial
December 20, 2025 at 12:08 AM
Scientists can never fully be replaced by machines. AI can never replace nature, the brain and the love-felt chambers of the human heart.
December 20, 2025 at 7:55 PM
Scientists can never fully be replaced by machines. AI can never replace nature, the brain and the love-felt chambers of the human heart.
Reposted by AlphaFold Unofficial
Using sequence alignment and AlphaFold modeling, the Carman lab at Rutgers identified four conserved motifs in yeast Pah1 essential for catalytic activity and lipid balance. go.njmicrobe.org/lmCbZg #Microbiology #YeastResearch #LipidMetabolism #Pah1 #AlphaFold #Lipin #MajeedSyndrome #Rhabdomyolysis
Deciphering the active site: Why motif conservation in Pah1 matters for yeast lipid homeostasis
The enzyme Pah1 is a central figure in the lipid metabolism of Saccharomyces cerevisiae, acting as a Mg2+-dependent phosphatidate (PA) phosphatase that converts PA into diacylglycerol. This catalytic ...
go.njmicrobe.org
December 20, 2025 at 3:34 PM
Using sequence alignment and AlphaFold modeling, the Carman lab at Rutgers identified four conserved motifs in yeast Pah1 essential for catalytic activity and lipid balance. go.njmicrobe.org/lmCbZg #Microbiology #YeastResearch #LipidMetabolism #Pah1 #AlphaFold #Lipin #MajeedSyndrome #Rhabdomyolysis
Reposted by AlphaFold Unofficial
How Alphafold Has Changed Biology Research, 5 Years On
NPR science Friday podcast
@scifri.bsky.social
Very educational 🙏👏
NPR science Friday podcast
@scifri.bsky.social
Very educational 🙏👏
December 20, 2025 at 12:05 AM
How Alphafold Has Changed Biology Research, 5 Years On
NPR science Friday podcast
@scifri.bsky.social
Very educational 🙏👏
NPR science Friday podcast
@scifri.bsky.social
Very educational 🙏👏
Reposted by AlphaFold Unofficial
The ONLY ‘AI’ I will allow are specialist models, like Alphafold. Things that are actively working to improve lives. Not taking jobs or profiting off of others’ work. Not GenAI or LLMs.
December 19, 2025 at 10:28 PM
The ONLY ‘AI’ I will allow are specialist models, like Alphafold. Things that are actively working to improve lives. Not taking jobs or profiting off of others’ work. Not GenAI or LLMs.
Reposted by AlphaFold Unofficial
AlphaFold was of course a version of that too, even if it couldn't score well here. But it wasn't general. These capabilities appear to be general intelligence, e.g. according to Francois Chollet's well considered framing here arcprize.org/arc-agi
ARC Prize - What is ARC-AGI?
The only AI benchmark that measures AGI progress.
arcprize.org
December 19, 2025 at 9:02 PM
AlphaFold was of course a version of that too, even if it couldn't score well here. But it wasn't general. These capabilities appear to be general intelligence, e.g. according to Francois Chollet's well considered framing here arcprize.org/arc-agi