Update: We’ve now released the code for RISoTTo. I’ll also be presenting a poster at NeurIPS AI4D3 in San Diego on Dec 6, if you’re around and want to chat about RNA design, come say hi! 🧬

github: github.com/LBM-EPFL/RIS...
Preprint: doi.org/10.1101/2025...

Context-aware geometric deep learning for RNA sequence design [2025-06-21]
Leverages geometric deep learning to design RNA sequences, considering the 3D structure and surrounding molecular context for improved accuracy and function.

Context-aware geometric deep learning for RNA sequence design https://www.biorxiv.org/content/10.1101/2025.06.21.660801v1

Presenting RISoTTo, a molecular context-aware model for RNA sequence design, building on our work with PeSTo (for protein binding interface prediction) and CARBonAra (for protein design).

📄 Preprint: www.biorxiv.org/content/10.1...
💻 Code & more coming soon!

#RNAdesign #RNAbiology #AI4Science

Inspired by @simonduerr.bsky.social at ERC'24 I built and deployed our sequence redesign model called CARBonAra on @hf.co.
The model is aware of any biomolecular context and performs on par with ProteinMPNN (see paper)

Check it out here: huggingface.co/spaces/LBM-E...

@lbm-epfl.bsky.social

Three BioML starter packs now!

Pack 1: go.bsky.app/2VWBcCd
Pack 2: go.bsky.app/Bw84Hmc
Pack 3: go.bsky.app/NAKYUok

DM if you want to be included (or nominate people who should be!)

Great blog post from AdaptyvBio summarising submissions for round 2 of the protein design competition: including a few interesting methods I had never heard of. Results will be released tomorrow:

www.adaptyvbio.com/blog/po103