Binder design has come of age thanks to generative models—but how can we access the wider array of dynamic, multistate protein functions, so elegantly employed by nature? @mihirbafna14 and I are excited to share SwitchCraft, a framework for designing such functions. (1/7)

We, @hlws_bot @PilarCossio2 @JiequnH, are sharing the official code release for EmbedOpt for seamless inference-time steering of protein diffusion models at github.com/rs-station/embedo…, featuring: ✨ Tutorial on a real CryoEM map (EMDB-63136) (check out the animation below!). 📦 Environment locked with pixi for zero-headache reproducibility. 🛠️ Fully compatible with the new Protenix 2.0 codebase. 📊 All scripts to reproduce the paper's benchmark results are included out-of-the-box. We are also proud to host this under the Reciprocal Space Station (RSS, @open_rss)—our growing hub for open-source structural biology software! 🌌 Paper: arxiv.org/abs/2602.05285

We just preprinted one of my favorite studies @FlatironInst. I was lucky to be part of an amazing team studying the effects of rapid cooling to preserve samples in cryoEM. Read on to learn about the limits of cryoEM for biophysics and how to overcome them biorxiv.org/content/10.64898…

We introduce ConforNets, a mechanism for conformational control in AlphaFold3 models - SoTA at producing diverse conformations on every multistate benchmark (N=104) - Novel capability: transfer state from one protein to another Outperforms BioEmu, ConforMix and AFsample3 🧵1/8

Structural biology is in an era of dynamics & assemblies but turning raw experimental data into atomic models at scale remains challenging. @mhli41 and I present ROCKET🚀: an AlphaFold augmentation that integrates crystallographic and cryoEM/ET data with room for more! 1/14.