Reciprocal Space Station retweeted
OpenBind intends to collect 10,000s of protein-ligand structures & affinities. To prioritize what we collect next, we need cofolding models trained on the latest data. Today we're releasing OpenBind-0 and 717 new ligand-bound structures.
Reciprocal Space Station retweeted
AlphaFold-like models such as Boltz-2 and AlphaFold3 learn powerful priors over structures from PDB. But how can we make them aware of new X-ray crystallography data?
Introducing CrystalBoltz: end-to-end X-ray structure determination via experiment-guided diffusion.
1/4 🧵
Reciprocal Space Station retweeted
Excited so share our theoretical work on cryo-EM vitrification and recovering ensemble distributions!!
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…
Reciprocal Space Station retweeted
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
Reciprocal Space Station retweeted
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.







