A fully-funded 4-year PhD position is opening in my lab at Cabimer . Please share!!! PostDoc inquiries are also welcome BTW!!!

Thinking of applying for an ERC Synergy Grant? They allow 2-4 PIs to apply to work together, 1 of whom can be based outside Europe. Learn how to apply & prepare for the evaluation! 👇 📑 info on 2026 #ERCSyG call 👉 europa.eu/!w7gPHV youtu.be/qGKoTFqs8Eg?si…

I’m thrilled to share that I’ve joined OpenAI as a research resident, focusing on safety research and AI for health. After nearly 10 years studying the brain, I’m excited for this next chapter building AGI to accelerate medical progress and scientific research! #feeltheagi

Evaluation of De Novo Deep Learning Models on the Protein-Sugar Interactome 1. A new study evaluates the performance of various deep learning models, including AlphaFold3, Boltz-1, Chai-1, DiffDock, and RosettaFold-All Atom, on predicting noncovalent protein-carbohydrate

Synthetic biology meets diagnostics: Engineering biosensing platforms for rapid and accurate pathogen and viral detection doi.org/10.1016/j.bios…

Our recent work on SO3LR, a general-purpose machine learned force field for molecular simulations, has been published in J. Am. Chem. Soc.! 🌞

Sad news… I was privileged to meet David Baltimore earlier this year in CalTech and we had a great discussion about Neuroimmunology. Rest in peace and may his memory be blessed.

A great visit to the University of Texas at Austin as the 3rd place of my US lecture tour. Thanks you so much, Mike Krische Lab, for this possibility, for sharing your chemistry and the typical food from Texas! @werzlab Freiburg Chemistry Institutes Universität Freiburg

AITHYRA Symposium #AIforLifeScience: From Sequences to Structures—Al and the Protein Universe

🧬La-Proteina🧬 The first generative model demonstrating accurate co-design of fully atomistic protein structures (sequence + side-chains + backbone) at scale, up to 800 residues, with state-of-the-art atomistic motif scaffolding performance - has just made its code open-source!

⚡ Bottlenecks decide the speed of protein AI. MMseqs2-GPU flipped the AlphaFold pipeline: MSA fell from ~80% → ~20% of runtime, pushing the bottleneck to deep learning. The pendulum swings again 🎯 🎧 New NVIDIA AI podcast w/ Chris Dallago & Martin Steinegger👇

GRASP: a model for protein complex structure prediction that integrates data from crosslinking, covalent labeling, chemical shift perturbation, and deep mutational scanning experiments. PKU Chemistry Chengwei Zhang nature.com/articles/s4159…

Many of the most complex and useful functions in biology emerge at the scale of whole genomes. Today, we share our preprint “Generative design of novel bacteriophages with genome language models”, where we validate the first, functional AI-generated genomes 🧵

2024 #NobelPrize laureate in chemistry David Baker has succeeded with the almost impossible feat of building entirely new kinds of proteins. In recent years, one incredible protein creation after the other has emerged from Baker’s laboratory. They range from new nanomaterials

This is a super cool resource - very nice to have a way to look at (hopefully all at some point) designed proteins!

I value approaches that work by subtraction: stripping away the unnecessary until the essential insight remains. Doing less often demands more: a deeper understanding of data and method to reveal the simplest formulation at the core. This is an attempt of ours. Hope it resonates.

The Baker Lab designs protein on/off switches 1/🧵 Instead of optimizing for how tightly a given protein binds to a target, Adam and team develop a method to control the duration of binding.

Researchers have discovered a mechanism that keeps the physiologically important Wnt signaling pathway from becoming overly active, which can occur during the initiation and metastasis of various types of #cancer. @SciSignal scim.ag/4n84XV6

Morphed transition between the unbound and bound conformations in the LAO-binding protein from Salmonella when interacting with arginine (PDB codes: Open: 2LAO → Closed Arg-bound) #scicom #scivis #molecularart @chimeraX

Morphed transition of the intermediates in the catalytic cycle of the yeast TRiC chaperone (PDB codes: 6KRD, 6KRE and 6KS6) ChimeraX (bsky: chimerax.ucsf.edu) #molecularart #scivis