AlphaFold is amazing but gives you static structures 🧊

In a fantastic teamwork, @mcagiada.bsky.social and @emilthomasen.bsky.social developed AF2χ to generate conformational ensembles representing side-chain dynamics using AF2 💃

Code: github.com/KULL-Centre/...
Colab: github.com/matteo-cagia...

Protein function often depends on protein dynamics. To design proteins that function like natural ones, how do we predict their dynamics?

@hkws.bsky.social and I are thrilled to share the first big, experimental datasets on protein dynamics and our new model: Dyna-1!

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Delighted to announce that our paper "Predicting absolute protein folding stability using generative models"(lnkd.in/dZJMiY4r) has been awarded the Protein Science BEST PAPER 2024 by @proteinsociety.bsky.social.

Big news: we are setting up a new non-profit organization to run bioRxiv and medRxiv. It's called openRxiv [no it's not a new preprint server; it's dedicated organization to oversee the servers] openrxiv.org 1/n

#CASP16 results are in! Template-based VFold seems to be lead method for nucleic acid structure prediction! AlphaFold2 and 3 still seem to be best methods for protein monomer and complex prediction.

Hi all! Inspired by how easy ColabFold ( @sokrypton.org ) made prot structure prediction for me, I have started ColabRNA to facilitate making predictions with RNA-based models!

Currently, the following models are available:
- SpliceAI
- Pangolin
- SpliceTransformer
- Borzoi

Happy to get feedback!