These laureates are VERY deserving. But an important addendum—no model could be trained without 40 years of Helen Berman and others’ work at the PDB, and we would not be certain of AF’s success without 30 years of John Moult and others’ work on CASP. Hats off to them as well 🥂

“I got the phone call and my wife promptly started screaming.” The 2024 #NobelPrize in Chemistry gave David Baker’s household an early wake up call. We talk about the potential of building new proteins and the inspirational effect his fellow laureates have had on his field.

Nobel Prize is NOT about h-index or citations. It is about the emergence of big new fields. So many posts discuss Nobel awardees. And so many misunderstand the Nobel Prize. 📍 A bit of clarification from my side: 1⃣ Nobel Prize is NOT about how useful your work is. It’s about

Improved protein binder design using beta-pairing targeted RFdiffusion 🚀 New preprint from David Baker!🚀 • A breakthrough in protein binder design: this study uses RFdiffusion conditioned to generate binders that form precise beta-strand pairings with polar protein targets,

Seems like a hot day for peptide models! 🔥 To this point, we've been modeling peptides as linear amino acid sequences via ESM-2 within our binder design models, SaLT&PepPr, PepMLM, and PepPrCLIP. However, most therapeutic peptides are chemically modified, enhancing their

How can we better predict which T-cell receptors (TCRs) will bind to specific epitopes, a crucial challenge in understanding immune responses and developing immunotherapies? Stanford University "Sequence-based TCR-Peptide Representations Using Cross-Epitope Contrastive Fine-tuning of

🚨 New blog/open resource alert 🚨 Struggling to keep track of the exponentially growing number of new TechBio companies? So was I! So I decided to start tracking them and I eventually decided to make it an open community resource. You can access via the below article👇 (1/n)

We made sequences generated by EvoDiff in the lab! - Unconditional generations express, fold, and exhibit expected secondary structure elements - We inpaint functional intrinsically-disordered regions and scaffold binders

📢Thrilled to introduce the #VirtualLab: a team of AI scientist agents (AI chemist, AI reviewer...). Virtual Lab is led by an AI professor w/ feedback from human scientist. The Lab created new nanobodies that we experimentally validated to bind to recent #covid variants🚀🧵

How many proteins could be degraded by molecular glues? New paper from the team at Monte Rosa Therapeutics, Inc suggests it's more than previously thought! Study led by Georg Petzold Pablo Gainza-Cirauqui John Castle & others

AlphaQubit draws on Transformers to decode quantum computers, leading to a new state of the art in quantum error correction accuracy. An exciting intersection of AI + quantum computing - we’re sharing more in nature today. blog.google/technology/goo…

We’re so exited about the community’s use of Boltz-1 already! We’ve just released a new update to of the Boltz-1 repo, which now automatically generates MSA’s for users in seconds using the amazing Colabfold MMseqs server. Test it out here: github.com/jwohlwend/boltz

After showing that AF2 can be used to design very large proteins by performing #RSO, I am happy to share another fun project we did: the #af2cycler Sergey Ovchinnikov @hendrik_dietz biorxiv.org/content/10.110…

During my sabbatical, one project I really enjoyed was training DNA foundation models with the team at Arc Institute. I've long believed that deep learning should unlock unprecedented improvements in medicine and healthcare — not just for humans but for animals too. I think this

Today is my first day as an Assistant Professor of Medicine at Stanford University! My research program is focused on understanding and enhancing engineered T cell immunotherapies for cancer and immune-mediated diseases. If interested in joining please reach out!

Excited to share our joint work with Richard Shuai, Full-Atom MPNN (FAMPNN), a protein sequence design method that explicitly models both sequence and side-chain structure! 🧵 1/N

We trained a genomic language model on all observed evolution, which we are calling Evo 2. The model achieves an unprecedented breadth in capabilities, enabling prediction and design tasks from molecular to genome scale and across all three domains of life.

I’m excited to share our significantly-updated preprint on de novo antibody design, where we now demonstrate the structurally accurate design of scFvs (in addition to VHHs) with RFdiffusion! biorxiv.org/content/10.110…

Super excited to launch nimbusimage.com, our cloud-based image analysis platform! nimbusimage.com Docs here: docs.nimbusimage.com Free tier available!

Excited too see nuclei.io featured on the cover of Nature Biomedical Engineering! AI-clinician collaboration paper rdcu.be/dLgV1