Advertisement · 728 × 90

Posts by Raphaël Bouvet

Such an incredible journey building DISCO 🪩. Love working with this team. DISCO is a co-design model with functional, de novo, new-to-nature enzymes. Huge shoutout to my co-authors for making this a reality! 🚀👇

1 week ago 23 10 0 0
Residue burial encodes a protein's fold Protein structure is controlled by a high-dimensional energy landscape, which is a function of all of the atomic coordinates of the protein. Can this landscape be accurately described by a low-dimensional representation? We find that residue core identity, a binary N-dimensional encoding indicating whether each of the N amino acids in a protein is buried in the core or not, can predict the protein's backbone conformation more efficiently than all other representations that we tested. Core identity is 4 times more efficient than previous estimates of the bits per residue needed to encode a protein's native fold, 2 times more efficient than the Cα contact map, and 1.5 times more efficient than the machine-learned embeddings from FoldSeek's 3Di. Even when the folded structure is unavailable, predicting each residue's burial from sequence yields a more accurate estimate of fold quality than predicting pairwise contacts from the same sequence information. Thus, this work emphasizes that the problem of determining a protein's native fold can be re-framed as predicting each residue's core identity. ### Competing Interest Statement The authors have declared no competing interest. Chan Zuckerberg Initiative (United States), 2023-329572 NIH, T32GM145452

How much information does it take to fold a protein? Not much, if you use the right information! We find that residue burial, a binary label of core vs surface, encodes a protein's fold highly efficiently and even improves ESM2's structure representation. 1/8 www.biorxiv.org/content/10.6...

2 weeks ago 2 2 1 0
Preview
mosaic/examples/proteina.py at main · escalante-bio/mosaic composite-objective protein design. Contribute to escalante-bio/mosaic development by creating an account on GitHub.

Added a JAX translation of the excellent Proteina-Complexa (from nvidia, @kdidi.bsky.social , @karstenkreis.bsky.social ) to mosaic. You can do beam search with any mosaic loss (e.g. protenix + mpnn) and JAX with generate efficient GPU/TPU code.

3 weeks ago 13 6 1 0
Preview
evedesign: accessible biosequence design with a unified framework Unified protein design for computational researchers and experimentalists

Meet evedesign: open-source AI, accessible protein design
✅Combine models for multiobjective optimization
✅Integrate experimental data
✅ Run on your own infrastructure
📄Paper: www.biorxiv.org/content/10.6...
💻Code: github.com/evedesignbio
🌐Webserver: evedesign.bio
Collaborate: hello@evedesign.bio

4 weeks ago 27 6 0 0

I think the boltzdesign1 method does something similar when using the confidence module (for plddt,pae,ptm) in the optimisation loop.

1 month ago 0 0 0 0
Video

📢📢 Proteina-Complexa 📢📢

Atomistic Binder Design with Generative Pretraining and Test-Time Compute + Experimental Validation at Scale

⭐️ Project page (research.nvidia.com/labs/genair/...) for:

📜 Method paper (ICLR' 2026 Oral)
🧬 Wet lab paper
🛠️ Code & Models
📁 Data

🧵 Thread

(1/n)

1 month ago 11 2 1 1
Video

I'm excited to announce some major updates to our ProteinEBM paper with Chenxi Ou @sokrypton.org!

1 month ago 38 11 1 0
Post image

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

1 month ago 245 91 1 2
Video

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🧵👇

4 months ago 63 24 4 1

I thoroughly recommend reading all of Cory Doctorow's recent speech on AI skepticism, it's crammed with new arguments and interesting new ways of thinking about these problems pluralistic.net/2025/12/05/pop-that-bubb...

4 months ago 12 55 4 0
Advertisement
Post image

Introducing gRNAde: our own little "AlphaGo Moment" for RNA design! 🧬🚀

📝: tinyurl.com/gRNAde-paper

Unlike proteins, RNA design has long relied on "wisdom of the crowd" (human experts) or the slow crawl of directed evolution — gRNAde changes that! 🧵👇

4 months ago 28 6 2 5
Guiding Generative Models for Protein Design: Prompting, Steering and Aligning

Guiding Generative Models for Protein Design: Prompting, Steering and Aligning

Figure 1

Figure 1

Figure 2

Figure 2

Table 1

Table 1

Guiding Generative Models for Protein Design: Prompting, Steering and Aligning [new]
Reviews methods to guide generative models to design proteins with specific properties, even if rare in training data. Focuses on parameter and fixed-model methods.

4 months ago 2 2 0 0

Global Analysis of Aggregation Determinants in Small Protein Domains www.biorxiv.org/content/10.1101/2025.11....

5 months ago 11 12 0 0

Re recent AFDB update, in case you wondered:
- most of AFDB is still same original predictions
-new/changed entries were modeled with AF2
- the MSAs are the originals, so should not contain sequences from last few years

5 months ago 5 1 0 0
Preview
De novo Design of All-atom Biomolecular Interactions with RFdiffusion3 Deep learning has accelerated protein design, but most existing methods are restricted to generating protein backbone coordinates and often neglect interactions with other biomolecules. We present RFd...

De novo design of All-atom biomolecular interactions with RFdiffusion3 www.biorxiv.org/content/10.1...

7 months ago 19 9 0 2
PNAS Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...

Protein functional site annotation using local structure embeddings | PNAS www.pnas.org/doi/10.1073/...

7 months ago 2 1 0 0
Post image

RFdiffusion2 is now live!
github.com/RosettaCommo...

You can now design proteins, and in particular enzymes from just partially defined amino acid side chains, and without defining their sequence position or order!

7 months ago 40 18 1 0
Scaling down protein language modeling with MSA Pairformer

Scaling down protein language modeling with MSA Pairformer

Figure 1

Figure 1

Figure 2

Figure 2

Figure 3

Figure 3

Scaling down protein language modeling with MSA Pairformer [new]
...Pairformer: memory-efficient MSA, bi-directional updates, better evol. signals, outperforms larger models.

8 months ago 1 1 0 0
Advertisement

There is ‪@aixbiobot.bsky.social‬ who does a similar thing.

9 months ago 2 0 0 0
Video

PS, I found Vidu to work better for interprolation between images. Example attached:

9 months ago 2 1 1 0

Structural motif search across the protein-universe with Folddisco www.biorxiv.org/content/10.1101/2025.07....

9 months ago 25 13 0 0

Hello all Protein Cosmos 🧶🧬 followers. A new Protein Cosmos feed had been set up with a new host. You will need to search Protein Cosmos and add the new feed to your account. Apologies and thanks to @blueskyfeeds.com for all their support to get us started. Best luck for the future!

9 months ago 2 1 0 0

New preprint 🚨--protein language models + MD training ➡️ allosteric networks!

@sonyahanson.bsky.social and I are developing RocketSHP 🚀 for rapid genome-scale inference of local+correlated fluctuations + structure token distributions!

📄: www.biorxiv.org/content/10.1...
💻: github.com/flatironinst...

9 months ago 9 6 1 0
Preview
GitHub - manzt/juv: Create, manage, and run Jupyter notebooks with their dependencies Create, manage, and run Jupyter notebooks with their dependencies - manzt/juv

For a similar pipeline, there is also juv github.com/manzt/juv that extends uv to jupyter notebooks including inline script metadata (PEP 723).

9 months ago 1 0 0 0
Preview
Rachel Thomas, PhD - Deep learning gets the glory, deep fact checking gets ignored an AI researcher going back to school for immunology

A case study on the challenges of evaluating AI predictions in biology and the implications for published results.

1/2
rachel.fast.ai/posts/2025-0...

10 months ago 29 12 1 1
Post image

The war on science in the US is already having an effect on private sector research like AlphaFold. Bears repeating but the private sector builds on top of things created by academic research for the public good. This hurts everyone.

10 months ago 238 105 2 12
Video

To the world:
We are fighting back. Our movement has been silenced by the media here—but we are not backing down. This is what our streets looked like across multiple cities. Tomorrow, there will be more of us! Raise a glass to freedom.

—With love,
Your American allies.

1 year ago 83265 19475 1878 1130

Sharing slides for All-atom Diffusion Transformers

- briefly summarises the big ideas and key takeaways

Link - www.chaitjo.com/publication/...

1 year ago 13 3 0 0
Advertisement

From a colleague in my PhD lab! Chase presents her method OMEGA, a simple, scalable method to assemble 100s-1000s of custom genes from oligo pools using standard lab tools!

#synbio #proteinengineering #OMEGA

1 year ago 3 1 0 0