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"

Was great to work with @joshuamhardy.bsky.social and David Ladd on this nice update! Very happy to maintain consistent 'in silico' pass rates across multiple versions!

Kate Michie@kmichie.bsky.social · 2w ago

ProteinDJ v3.0 is free for commercial use! Built by @joshuamhardy.bsky.social (WEHI), with contributions from @tlitfin.bsky.social and David Ladd (Audax). Commercial deps removed. New: GPU design/relaxation, BoltzGen, AF2/Boltz2 tandem and insulin-receptor binder tutorial. github.com/PapenfussLab...

World-leading Aussie science fighting #AntimicrobialResistance! PhD student George Bouras added 17M bacterial protein predictions to the #AlphaFold database. This was made possible by a partnership between BioCommons & @pawseycentre.bsky.social to containerise #ColabFold on Setonix. Read more 🔗

World-leading Australian science: 17M protein structures added to the AlphaFold Database to accelerate the fight against antimicrobial resistance  — Australian BioCommons

Australian researcher, George Bouras, has recently contributed an extraordinary 17 million protein predictions to the AlphaFold Protein Structure Database. This work was possible thanks to the availability of the ColabFold tool on Setonix AMD, the result of collaboration between BioCommons and the P

biocommons.org.au

Now published in NSMB! Paper: doi.org/10.1038/s415... Full PDF: rdcu.be/fhBtI Overview of additions since the preprint👇 (1/5)

Evaluating generalization in protein–ligand cofolding methods - Nature Structural & Molecular Biology

This work introduces the Runs N’ Poses dataset for benchmarking deep learning methods on the protein–ligand complex prediction task. It shows that current methods rely on memorization, challenging the...

doi.org

Peter Škrinjar@peterskrinjar.bsky.social · 2y ago

Excited to share our latest preprint evaluating AlphaFold3, Boltz-1, Chai-1 and Protenix for predicting protein-ligand interactions, featuring our newly introduced benchmark dataset 🌹Runs N’ Poses🌹! www.biorxiv.org/content/10.1... 🧵👇 (1/n)

Excited to welcome Dr Cameron Gilchrist (Korea Basic Science Institute) to our next Structural Biology Community Meeting! 🧬💻 They’ll be presenting: "Multiple protein structure alignment with FoldMason." 🗓️ Wed 20 May. All welcome! Agenda & join link: www.biocommons.org.au/events/struc...

You asked, we listened. Millions of AI-predicted protein complex structures are now available in the #AlphaFold Database. This spans homodimers from 20 of the most studied species, including humans, as well as the World Health Organization’s priority pathogens list. www.ebi.ac.uk/about/news/t...

Is #AI hitting a plateau in structure prediction? Help us find out at CASP17! 🧪🧬 Calling for Targets: Immune Complexes, protein - ligand complexes, RNA/DNA, conformational ensembles, membrane proteins, viral origins, and large complexes. The Rule of Thumb: If AF3 can’t model it, we want it.

New OpenFold3 preview out! (OF3p2) It closes the gap to AlphaFold3 for most modalities. Most critically, we're releasing everything, including training sets & configs, making OF3p2 the only current AF3-based model that is functionally trainable & reproducible from scratch🧵1/9

Isomorphic Labs Drug Design Engine (IsoDDE), a unified computational drug-design system Announcement: www.isomorphiclabs.com/articles/the... Report: storage.googleapis.com/isomorphicla...

FoldMason is out now in @science.org. It generates accurate multiple structure alignments for thousands of protein structures in seconds. Great work by Cameron L. M. Gilchrist and @milot.bsky.social. 📄 www.science.org/doi/10.1126/... 🌐 search.foldseek.com/foldmason 💾 github.com/steineggerla...

Multiple protein structure alignment at scale with FoldMason

Protein structure is conserved beyond sequence, making multiple structural alignment (MSTA) essential for analyzing distantly related proteins. Computational prediction methods have vastly extended ou...

science.org

Here are the success rates of de novo pipelines based on which designs I could actually identify the methods for.

Martin Pacesa@martinpacesa.bsky.social · 8mo ago

Huge congratulations @nboyd.bsky.social with Mosaic that absolutely killed in the competition! 𝑩𝒊𝒏𝒅𝑪𝒓𝒂𝒇𝒕2 did also pretty well with the second highest hit rate in the competition! proteinbase.com/collections/...

New preprint🚨 Imagine (re)designing a protein via inverse folding. AF2 predicts the designed sequence to a structure with pLDDT 94 & you get 1.8 Å RMSD to the input. Perfect design? What if I told u that the structure has 4 solvent-exposed Trp and 3 Pro where a Gly should be? Why to be wary🧵👇

I'm really excited to break up the holiday relaxation time with a new preprint that benchmarks AlphaFold3 (AF3)/“co-folding” methods with 2 new stringent performance tests. Thread below - but first some links: A longer take: fraserlab.com/2025/12/29/k... Preprint: www.biorxiv.org/content/10.6...

🧶🧬 We present LMi4Boltz: www.biorxiv.org/content/10.1... Boltz-2 is an excellent open source alternative to AlphaFold3. However, high VRAM use restricts modeling large complexes. Using careful memory management, we increase the Boltz-2 size limit by >60% while maintaining execution speed.