AlphaFold database has entered the era of complexes. Together with NVIDIA, DeepMind and EBI, we use ColabFold, OpenFold and MMseqs2-GPU to predict ~31 million complexes (homo & hetro-dimers) resulting in 1.8 million high-quality predictions 📄 research.nvidia.com/labs/dbr/ass... 🌐 alphafold.ebi.ac.uk

📢 We’re launching Proteina-Complexa — and after the Jensen keynote mention, we definitely had to post this thread now ;) Atomistic binder design with generative pretraining + test-time compute, plus large-scale wet-lab validation. Project page: research.nvidia.com/labs/genair/... 🧵 1/n

The AlphaFold Database, jointly developed with Google DeepMind, now contains datasets from specialist communities. This includes rich datasets for microbes, viruses & parasites associated with tropical diseases. Explore the new datasets in the AlphaFold Database. www.ebi.ac.uk/about/news/u...

First paper from grad school & first first-author! It's been a huge team effort, and it was lovely working with everyone. Check out Caleb’s thread summarizing how we used discarded WGS reads from biobanks to study EBV at population scale 🧬

Today in @nature.com, we describe how discarded reads in biobank-scale WGS can help resolve the genetic predictors and consequences of Epstein-Barr Virus (EBV) infection. Wonderful working with @ryandhindsa.bsky.social @sherrynyeo.bsky.social @erinmayc.bsky.social www.nature.com/articles/s41...

I updated ipSAE code to handle Boltz2 files properly -- non-standard chainIDs/order, PDB input as well as mmCIF; other pull requests. github.com/DunbrackLab/.... Also updated preprint--fixed Latin grammar error in title - very embarrassing and added new figure. www.biorxiv.org/content/10.1...

We are very excited to share the first preprint of a new direction for our group. Led by the fearless duo of @arthurwchow.bsky.social and @hoyinchu.bsky.social, our foray into computational protein design—

Exciting to see our protein binder design pipeline BindCraft published in its final form in @Nature ! This has been an amazing collaborative effort with Lennart, Christian, @sokrypton.org, Bruno and many other amazing lab members and collaborators. www.nature.com/articles/s41...

Excited to share a new preprint from the lab with @ryandhindsa.bsky.social ! www.biorxiv.org/content/10.1... Led by @sherrynyeo.bsky.social, @erinmayc.bsky.social, and friends, we continue our journey to find viral DNA in our favorite place-- the overlooked and discarded reads in existing data! 1/

We are excited to introduce mRNABench, a comprehensive benchmarking suite that we used to evaluate the representational capabilities of 18 families of nucleotide foundation models on mature mRNA specific tasks. Paper: doi.org/10.1101/2025... Code: github.com/morrislab/mR... A 🧵

Congratulations to the newest Damon Runyon Quantitative Biology Fellows, five exceptional early-career scientists who are using state-of-the-art computational tools to bring cancer biology into high resolution!

And read the News & Views highlighting this work, here: www.nature.com/articles/s41...

AFESM: a metagenomic guide through the protein structure universe! We clustered 821M structures (AFDB&ESMatlas) into 5.12M groups; revealing biome-specific groups, only 1 new fold even after AlphaFold2 re-prediction & many novel domain combos. 🧵 🌐 afesm.foldseek.com 📄 www.biorxiv.org/content/10.1...

Trying a slightly new model (for us at least) of #openscience. With @ronanchaligne.bsky.social and @karolisk.bsky.social, we pitted 10x Genomics Chromium GEM-X against Illumina PIPseq V head-to-head to understand these two platforms for single-cell genomics. Some thoughts off the bleeding edge: /1

Feeling invigorated after hearing from patients and their families while riding with @cycleforsurvival.bsky.social. I am SO grateful to work with this talented and motivating team at @mskcancercenter.bsky.social! Thank you to everyone who participated in and donated to this outstanding cause!

Chai-1, the open source AF3 clone, is now available with an Apache 2 license github.com/chaidiscover...

A weekend project from a while back -- this little package (with no dependencies) allows you to interact with pymol remotely. I use it a lot for my protein design workflows together with @biotite.bsky.social. Just `pip install pymol-remote`