🍹Weekend project: I (with help from claude - budget $40), was able to get OpenFold3 weights running inside AlphaFold3 codebase (jax). Works for proteins, ligands, rna/dna (1/3)!

New benchmark dropped:

The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance. Access to all other Claude models is not affected. We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible. Read our full statement: anthropic.com/news/fable-myt…

Protein–ligand cofolding models are getting incredibly powerful… but do they have to be so slow? 🧬🐢💊 Our new preprint introduces a new flow-map framework called DeCAF for fast few-step cofolding — up to 5× faster while preserving sample quality on the SOTA Pearl model and 20x faster than Boltz 1x. ⚡🧵 📜 Blog: genesis.ml/news/genesis-mode… 🔗arXiv: arxiv.org/abs/2606.08375 Code (coming soon): github.com/genesistherapeuti…

We also found a scaling law that explains (p=0.03) Ab-Ag accuracy across model lineages - from Boltz to AF3 and beyond. 1.8x-ing AF3 performance (to match IsoDDE) would seem to require e.g. 10x more distillation and 16x compute. (7/8)

New Science Blog: Why has AI advanced faster in coding than in biology? To agents, bio databases are like cities built before cars—maddening to drive in because they're designed for different traffic. How do we build infrastructure agents can use? anthropic.com/research/agent…

Catalogue entries for more than 100 antibodies sold by the research services and supply company Thermo Fisher Scientific contain images that have apparently been manipulated, according to a pair of science sleuths. go.nature.com/4wZqGEE

🚀 Excited to share our new work: Absolute Stability Predictor! 📊: forms.gle/4ZnXZSnTBvaykkAi9 Built the MGnify Stability Dataset (1.8M measurements) and developed stability prediction models, together with @grocklin, @KotaroTsuboyama, @sokrypton, and teams.

Attention @arxiv authors: Our Code of Conduct states that by signing your name as an author of a paper, each author takes full responsibility for all its contents, irrespective of how the contents were generated. 1/

hallucinated references will land you a 1-year ban from arxiv now. wow

I'll be in Rio this week for #ICLR2026 🇧🇷 including presenting AlphaFast and LIghtning-Boltz at the GEM workshop (4/27 in room 210) DMs are open to chat about all things accelerating bio-molecular structure prediction and contrastive learning for protein design!🧬

This is a baseball bat

Nine days left to submit your work to the GenBio workshop for ICML!!! genbio-workshop.github.io/20…

Have you wondered what the wet lab success rates are for current AI-driven protein design models? Look no further! In our new open access review, @KevinKaichuang, @avapamini, @SarahAlamdari, and I report wet lab success rates for *over 200* different protein design tasks 🧬💻