LoL-align is out in @natmethods.nature.com! It aligns protein structures without superposition. More sensitive than TM-align and DALI, producing better alignments 5–20× faster. Now available in Foldseek! 📄 www.nature.com/articles/s41... 💾 github.com/steineggerlab/foldseek 🌐 search.foldseek.com
Milot Mirdita
@milot.bsky.social
Open source #bioinformatics at Sungkyunkwan University 🇰🇷 | former Steinegger Lab @ SNU, Söding Lab @ MPI-NAT | http://mstdn.science/@milotmirdita
AlphaFold Database is expanding into pandemic preparedness. Together with NVIDIA, DeepMind, EBI et al. we exhaustively predicted ~1.7 million homo- & heterodimers across 2,812 viral proteomes, resulting in 8,028 high-confidence predictions. 📄 research.nvidia.com/labs/dbr/ass... 🌐 alphafold.ebi.ac.uk
Is the world prepared for a future pandemic? AI-predicted protein complex structures for 2,800 viruses known to infect humans are now openly available in the #AlphaFold Database, which could improve how we respond to emerging infectious disease outbreaks. Learn more: www.embl.org/news/science...
Our wet-lab validation campaign for Proteina-Complexa is now on bioRxiv! It includes some new exciting experimental results, from large protein structures (fully codesigned!) to functional carbohydrate binders. biorxiv.org/content/10.6... Thread with some of the additions 🧵1/n
Latent generative search unlocks de novo design of untapped biomolecular interactions at scale
De novo protein design has advanced rapidly, yet designing binders to polar, solvent-exposed epitopes and small, flexible ligands remains challenging. Such hydrated surfaces and flexible molecules, in...
biorxiv.org
BFVD v3 contains 5.8M viral protein structures, 16× more than v2; 75% high quality, filling a major gap in AFDB coverage. It fully covers 72.6% of reference proteomes and spans 72.7% of ICTV species. Great work by @eunbelivable.bsky.social et al. 📄 www.biorxiv.org/content/10.6... 🌐 bfvd.foldseek.com
BFVD v3-UniProt-complete, improved viral protein structure predictions https://www.biorxiv.org/content/10.64898/2026.09.16.752260v1
Introducing highly experimental localfold.org Building on @martinsteinegger.bsky.social af2 webgpu port, @milot.bsky.social optimizations & jax ports of af3-like models by @marielle.bsky.social, Choonghwan Lee, Julia Buhmann. WARNING: runs directly on your 💻, may drain 🪫 & eat data📱 & overheat 🔥💻
Run AlphaFold2 locally in your browser via WebGPU, no installation needed, it's just a static webpage using your own GPU or CPU. Short proteins run in seconds. Larger ones are still slow: a 291-aa protein takes ~7 minutes on my M4 Pro. ❗It's just a PoC. 🌐 martin-steinegger.github.io/alphafold2-w...
ColabFold 1.6.3 is out! 2.5x faster, pip-installable, ipSAE+pDockQ2 scores. Thanks Choonghwan Lee, Marielle Russo, Gyuri Kim 🐍pip install colabfold[alphafold] CF2 Sneak Peak with AF3/Boltz/Protenix/ESMFold2… 🐍pip install "colabfold[alphafold3]@git+https://github.com/sokrypton/ColabFold@af3-preview"
Finally a more intuitaive way to learn pLDDT/pAE? 😎 sokrypton.github.io/protein_figh... (Character idea from @hannes-stark.bsky.social & Alex Waldherr)
Fold Spacer lets you fly through protein structures (Weekend project #2). It’s my first game: I originally set out to build a racer with structures as the tracks, but was a little too crazy. So it became this instead. You can upload your own structures. 🌐 martin-steinegger.github.io/Fold-Spacer/
Foldseek-Interface enables fast search/clustering of the protein interface universe! We clustered 3.1M PDB dimers into 77,167 groups and found new interfaces keep appearing even as fold discovery plateaus. 🧵 📄 www.biorxiv.org/content/10.6... 🔎 search.foldseek.com/interface 🌐 interface.foldseek.com
@gbouras13.bsky.social talking about his new protein structure-based bacterial genome annotation tool, Baktfold. 🧫🧬 GitHub: github.com/gbouras13/ba... Preprint: www.biorxiv.org/content/10.6... #ISME20
mdrepo.org now has its own account (that's me!) Follow the account for updates on content and functionality.
@wheelerlab.org is talking about his effort to build a resource for protein dynamics (PDB for MD). MDRepo is a repository to store simulation data. This is really needed to push the needle in design, function and more. Please help make it successful by sharing your MD data. #ismb2026 🌐 mdrepo.org
AI-driven protein structure prediction lets us revisit the question once impossible to tackle at scale: What can we learn from the evolution of protein structures? Our new preprint reviews how to properly assess the quality of structure-based alignments and trees. 🧵1/5 📄 doi.org/10.32942/X2T10D
AmpliPhy is now reviewed and published in @bioinfoadv.bsky.social! AmpliPhy improves your gene trees by adding homologs with a single command, based on the observations from a quantitative benchmark design. More details in quoted 🧵 📄 doi.org/10.1093/bioadv/vbag222 💾 github.com/DessimozLab/ampliphy
AmpliPhy improves gene trees by adding homologous sequences without affecting alignments
AbstractMotivation. In phylogenomics, gene tree reconstruction depends on multiple sequence alignment and tree inference, and ongoing work continues to imp
doi.org
Can ever-increasing sequence databases improve phylogenetic reconstruction of a gene family? Our new preprint introduces AmpliPhy, a pipeline that automates homolog enrichment to improve gene tree inference, built on a robust phylogenomic benchmark scheme. 🧵1/n 📃 doi.org/10.64898/2026.01.26.701724
If you are looking for web-based phage annotation, phage-annotation.org is live. Upload a genome to run Pharokka, Phold and Phynteny sequentially (see our recent protocols paper doi.org/10.1002/cpz1...). If you have feedback, please reach out Thanks to @ardc.edu.au for making this possible!
Phage Annotation Server -- phage genome annotation
Free automated phage genome annotation -- pharokka, phold and phynteny in one pipeline.
phage-annotation.org
Riboseek is a fast RNA/DNA search. More sensitive than nhmmer at 250x speed. Structure-aware realignment produces MSAs approaching rMSA quality. Plus 1.7M precomputed RNA MSAs, and an API to search your own 📄 www.biorxiv.org/content/10.6... 💾 github.com/steineggerla... 🌐 search.foldseek.com/riboseek
Come work on exciting AI for biology projects in Paris!! 🇫🇷 Details and application below, deadline sept 1st!
🚨 JOB ALERT🚨 We are very excited to be hiring the lab's ✨very first postdoc✨! Work on new AI technologies for decoding antigen protein evolution in a fresh research environment, at the heart of Paris 🇫🇷 Details & link to apply: research.pasteur.fr/en/job/postd... Deadline: Sep 1st
Excited to share our now published paper @cp-cell.bsky.social highlighting advances in modeling the evolution of protein-protein interactions with MSA Pairformer. Big thanks to Zhidian Zhang, Olivia Tang, @eunbelivable.bsky.social @milot.bsky.social @martinsteinegger.bsky.social and @sokrypton.org!
Expanding the scope of protein language modeling to protein-protein interactions with MSA Pairformer
Protein language models have excelled at modeling individual proteins, but extending these capabilities to protein complexes remains a major challenge. MSA Pairformer, a parameter-efficient protein la...
cell.com
Thanks for the advert, @martinsteinegger.bsky.social. If you're reading this and you're sitting on a pile of molecular dynamics simulations, please consider contributing them to MDRepo. This is the path to AI for dynamics (And if you're wondering: yes, there was only 1 person in the audience! 🤥)
@wheelerlab.org is talking about his effort to build a resource for protein dynamics (PDB for MD). MDRepo is a repository to store simulation data. This is really needed to push the needle in design, function and more. Please help make it successful by sharing your MD data. #ismb2026 🌐 mdrepo.org
New study by Alexander Henoch (@ahenoch.bsky.social), a PhD student in our group @hifmb.de and @awi.de, shows what it takes to bring gene synteny into microbial pangenomes, and what we learn about the variability landscape of genomes when we do that. See the pre-print here: doi.org/10.64898/202...
ICML is happening in Seoul this year, and I’ve been getting several messages about lab visits. Who else will be in town and would like to meet? @milot.bsky.social lab and mine are planning a dinner on July 7th, after the reception. Let me know if you’re interested!
🧬 New preprint! We clustered 5.6 million bacterial genomes into genomically cohesive units (GCUs) 500× faster than existing tools. (In just 14 hours, 16.5 GB RAM using 48 CPUs). 🦠🐙Meet gemsparcl 💎✨! www.biorxiv.org/content/10.6...
Does your designed active site already exist in nature? Is an uncharacterized protein hiding a catalytic site or a pocket? Folddisco answers both, searching millions of structures for a 3D motif in seconds. @natbiotech.nature.com 🧬 📄 www.nature.com/articles/s41... 🧵1/7👇
Structural motif search across the protein universe with Folddisco - Nature Biotechnology
Folddisco enables protein structural motif search in million scale databases.
nature.com
10 years after the first FAMSA paper, its successor is now published in Nat Biotech! We believe that FAMSA2 can enable analyses of large protein collections that were previously unattainable. Thank you, Andrzej and Cedric, for great collaboration www.nature.com/articles/s41...
Fast and accurate multiple-protein-sequence alignment at scale with FAMSA2 - Nature Biotechnology
FAMSA2 accurately aligns millions of protein sequences at high speed.
nature.com
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
Whenever I presented Phold, I was frequently asked "can you do the same beyond phages?" We ( @oschwengers.bsky.social @linsalrob.bsky.social @binomicalabs.org et al) finally did it with Baktfold github.com/gbouras13/ba... www.biorxiv.org/content/10.6...
GitHub - gbouras13/baktfold: Rapid & standardized genome annotation using protein structural information
Rapid & standardized genome annotation using protein structural information - gbouras13/baktfold
github.com
45 novel protein folds in the updated AFESM (AFDB + ESMatlas) manuscript: • 12 high-confidence folds in AFESM • 33 by ColabFold-repredicting 2.3M low-quality domains We show AFDB captures most domains already and ESMfold struggles with novelty 🌏 afesm.foldseek.com 📄 biorxiv.org/content/10.1...
AFESM Clusters
Foldseek clustered 820M AlphaFold DB + ESMatlas structures
afesm.foldseek.com