Metabuli & Metabuli App v1.2 improve novel species classification with higher precision and recall. New light mode is 1.8× faster and requires 50% less storage while keeping precision. New RefSeq, GTDB, HRGM, and HROM databases added. 💾 github.com/steineggerla... 📄 doi.org/10.64898/2026.03.13.711249

Kieran et al. trained a generative protein binder design model. The training is based on Teddymer, a dataset developed by @sooyoung-cha.bsky.social. By treating monomer domains as multimers and clustering them with Foldseek, she created a set that allowed Complexa to learn. 💾 teddymer.foldseek.com

📢 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

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

MMseqs2-GPU sets new standards in single query search speed, allows near instant search of big databases, scales to multiple GPUs and is fast beyond VRAM. It enables ColabFold MSA generation in seconds and sub-second Foldseek search against AFDB50. 1/n 📄 www.nature.com/articles/s41... 💿 mmseqs.com

Foldseek 10 with 4-27x (1-8 GPUs) faster search through MMseqs2-GPU. Faster ProstT5 protein search w/o structure prediction through multi-GPU/Apple Metal, new BFVD/BFMD databases and multimer clustering (preview). 💾 github.com/steineggerla... 📄 www.biorxiv.org/content/10.1... 🐍 available in bioconda

MMseqs2 Release 16 Highlights: GPU-accelerated search📄, ORF or new 6-frame translated search modes, contig taxonomy always keeps the longest ORF, bug fixes (reduced memory and higher sensitivity) and relicensed as MIT 📄 biorxiv.org/content/10.1... 💾 mmseqs.com and 🐍Bioconda 🖥️🧬🧶