Main track:

1⃣ Proteina: Scaling Flow-based Protein Structure Generative Models
research.nvidia.com/labs/genair/...
Orals 3B, posters 4
(video below)

2⃣ ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids
arxiv.org/abs/2503.05025
Orals 2C, posters 3

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🔸Proteina is a fantastic collaboration with wonderful colleagues at NVIDIA:

🔥 Tomas Geffner*, @kdidi.bsky.social*, Zuobai Zhang*, Danny Reidenbach, Zhonglin Cao, @jyim.bsky.social , Mario Geiger, @machine.learning.bio, Emine Kucukbenli, @arashv.bsky.social, @karstenkreis.bsky.social* 🔥

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🔸We also demonstrate LoRA-based fine-tuning on a smaller set of high-quality protein structures from the PDB, and we show that autoguidance, where the model is guided by a weaker version of itself, can be used to boost designability. See our paper for details.

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📢📢 "Proteina: Scaling Flow-based Protein Structure Generative Models"

#ICLR2025 (Oral Presentation)

🔥 Project page: research.nvidia.com/labs/genair/...
📜 Paper: arxiv.org/abs/2503.00710
🛠️ Code and weights: github.com/NVIDIA-Digit...

🧵Details in thread...

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