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

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.

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, 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.

en.wikipedia.org/wiki/John_M.... Nobel prize chemistry 2024 for alphafold 👏👏

Scientists can never fully be replaced by machines. AI can never replace nature, the brain and the love-felt chambers of the human heart.

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

How Alphafold Has Changed Biology Research, 5 Years On NPR science Friday podcast @scifri.bsky.social Very educational 🙏👏

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.

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

Join us for our first #webinar of 2026, introducing EMBL-EBI data resources. We will be joined by five resources representatives, and you will have the opportunity to pre-submit questions as well as ask them live. Registration is free but essential: www.ebi.ac.uk/training/eve... 🖥️🧬

In search of the ER guardian of oxygen galaxy: how AlphaFold and discovery of a conserved heme-binding protein can help CIHD Virtual Seminar December 16th, 2025 - Dengke Ma, Ph.D. University of Utah CIHD youtu.be/wsj46I6Im9Y?...

LLMs are ML too. This is built on the Google DeepMind GraphCast foundation model. Yes, the same DeepMind that built the Gemini LLM, and won a Nobel Prize last year for AlphaFold.

On why AlphaFold may not revolutionize drug discovery. Great piece by @philipcball.bsky.social

AlphaFold is a good example of what AI is actually good for. the creators of it won a nobel prize a few years ago, massive leap in medical technology. i know AI is also used for a lot of advanced simulations in astrophysics and stuff but i forget the specific details on that.

But why should we anticipate this? There is no evidence for it so far. They cite, among other things, AlphaFold. AF is very useful, but has not transformed drug development and will not. /2

Pragya Parashara, Teresa Gunn, Jennifer Kong @jennkong.bsky.social and colleagues discover that the E3 ubiquitin ligase MGRN1 targets melanocortin receptors MC1R and MC4R via interactions with transmembrane adapters. journals.biologists.com/jcs/article/...

Is anyone else having Alphafold server jobs fail a lot lately ("stuck in PENDING for over 24 hours" or other error) and seeing the message "Current estimated wait time for new jobs submitted is up to 6 hours" on the submission page? Wondering if it's just me or a general issue.

AlphaFold is a diffusion model that works the same way AI image generators work.

Right? I found the first example really off putting. The author gives credit to AlphaFold for doing the hard work of winning a Nobel. Yes, it's important tech, but to then down play the work of the people that developed and continue to run, check, and interpret the work is messed up.

We started out with AlphaFold predictions and #cryoEM structures that show the interactions between the endonuclease XPF-ERCC1, the scaffold protein SLX4, and the DNA repair factor SLX4IP. This allowed us to pinpoint and test the molecular interactions that govern complex assembly.

AlphaFold is one of those things that is both a genuine scientific triumph and also massively over touted for its abilities, if you talk to any experimental structural biologist they will be able to tell you where it's useful and where it's not, but not enough people are asking them!

One thing about AlphaFold (and presumably all of these, alphafold is just the one i know) is that it actually has a lot of limitations! Even if it was perfect, it takes actual scientists to come up with the ideas for how to use it in the first place!

You’ve got a nanobody that binds a small molecule, but you’re not quite sure about its structure or its binding site? Can you trust AlphaFold 3? Or is it better to use Boltz-2 or Chai-1? Does it even matter if your nanobody sequence is similar to ones used during the training of these tools?

The premise also seems to be “The X-Ray machine itself deserved to receive its own Nobel Prize alongside Wilhelm Röntgen”

Alphafold is GenAI. The prob here is that machine learning is a huge spectrum and much of it is very, VERY beneficial. Hard to draw lines without accidentally banning revolutionary medications for example.

I do think the usage of “artificial intelligence” regarding things like LLMs and generative AI as well as stuff like AlphaFold does AlphaFold a disservice. I would be much more excited about AI if it was associated with tools like that, versus the aforementioned slop machines.

Oh. My. God. I did not realize this article cited “ai” use in science in its reasoning. These tools are incredible, it’s true. AlphaFold is straight up an example of how AI can actually work for us. But even that starts with a scientist with an idea!

New from Atkinson’s group: Odai et al. present the Viral AlphaFold Database, revealing conserved protein folds in viruses across bacteria, archaea, and eukaryotes. A massive step for structural virology. #InfectLU #Virology #AI led by G. C. Atkinson www.science.org/doi/10.1126/...

Adventskalender Türchen 14: OpenFold 3 🎄 AlphaFold sagt vermutlich vielen hier etwas: Ein Tool zur Vorhersage der 3D-Struktur von Proteinen. Aber kennt ihr auch OpenFold? Das ist ein open source Nachbau, der offene und transparente Wissenschaft möglich machen soll. ⬇️

Sharing here as well — consider adding this to your or your fav llm’s reading list if you want a dive into 1) protein folding, 2) limitation of AlphaFold and what it learned. You could be one step closer to solve the protein folding problem. www.nature.com/articles/s41...

AlphaFold predictions are valuable hypotheses and accelerate but do not replace experimental structure determination www.nature.com/articles/s41...

I agree with your statement "shed science". Alphafold was trained on 1000s of protein structures available in a global database. No new theory. It's hype hasn't stood up. Since @olivia.science joined the thread, she's one of my favorite people to learn from. www.nature.com/articles/s41...

Kevin then used Alphafold to model interaction of the FAB and actin filaments, revealing a prediction that suggested conserved amino acids are key 19/n

Thus we turned to the IDR. While Canoe and Afadin share IDRs, they are very different in length, sequence and charge. Only the C-terminal region (the “FAB”) showed apparent sequence conservation, though structural predictions via Alphafold suggested a conserved pair of helices in the IDR center 5/n

AlphaFold, the AI system used to predict protein structures, is not an LLM. These are quite different forms of AI

Gonna be super clear here since no one can look these things up. AlphaFold 3 is GenAI AlphaFold 3 is working Has nothing to do with being an "AI fan" or anyone pulling a scam. Everyone wants to cope about AI.

Advanced AlphaFold 3 workshop coming! 🧪👾 For those ready to tackle pulldown analysis & get technical (yes, programming required). Join the waitlist: mailchi.mp/6ff79a3ca8ca... Original workshop still available for beginners! #AlphaFold #Bioinformatics #StructuralBiology

Fer’s tour de force in B. anthracis is out! Fer got Tn-seq running, built an ordered knockout library, defined all essential sporulation genes, and found a peptidoglycan deacetylase inhibitor critical for engulfment. Including our first one-by-all Alphafold screen! journals.plos.org/plosbiology/...

We really need to differentiate between GenAI & LLMs and AI that’s been developed with a really specific use case like Alphafold.

Interesting paper by the group of @sebastianpomplun.bsky.social of our @led3hub.bsky.social in ChemMedChem. Based on the AlphaFold-Multimer structure of MYC/Miz-1, they designed a stapled peptide that disrupts the MYC/MAX interaction. chemistry-europe.onl...

“A team used the AlphaFold 3 model to identify a viral surface protein—OPG153—as a good target for developing new antibody therapies to treat mpox or for use in a vaccine” www.genengnews.com/topics/infec...

This is the issue with AI overhype. Alphafold will actually help cure cancer faster. There are good uses over shadowed by images of ALF with three hogs.

364 days a year we use AlphaFold to predict protein structure… But not on Christmas Eve! That’s when Santa does the predictions. But beware, computational structural biologists on the naughty list will only get low pLDDTs #SantaFold #bananapro

Demis Hassabis and Veritasium's Derek Muller talk AI, AlphaFold and human intelligence www.youtube.com/watch?v=Fe2a... Sage advice! "Be prepared that things are going to move even faster....learn about adapting and learning to learn...learning quickly to adapt to a new technology"

🔎 Pour retrouver les supports de formation : moodle.france-bioinformatique.fr/course/view.... #Bioinformatique #AlphaFold #IA #Proteins #StructuralBioinformatics #Formation

🚀🧬Début de la formation AlphaFold & au-delà à Orsay ! Au programme de ces 3 jours : analyse de structures protéiques en 3D, grâce aux outils d’intelligence artificielle tels qu’AlphaFold et initiation à l’utilisation du supercalculateur Jean Zay (IDRIS - @cnrs.fr ) !

📽️ 'The Thinking Game' un documental que explora el impacto de IA en AlphaFold... ¡No te lo pierdas! #DocumentalIA

Amazing! I wonder what that would imply if true! Would genome research need an extra run because of this, to identify new genes that need to be read backwards? Would AlphaFold need new training, or can it be instructed to start folding from the other end? Can we identify which proteins are BT

Researchers using updated AlphaFold and new models (e.g., BoltzGen) have generated AI-designed nanobodies and full-length antibodies with drug-like properties, and teams and startups say clinical trials are imminent though most designs lack disease-model or clinical validation.