SeedProteo: AI for Protein Binder Design
Published:Dec 30, 2025 12:50
•1 min read
•ArXiv
Analysis
This paper introduces SeedProteo, a diffusion-based AI model for designing protein binders. It's significant because it leverages a cutting-edge folding architecture and self-conditioning to achieve state-of-the-art performance in both unconditional protein generation (demonstrating length generalization and structural diversity) and binder design (achieving high in-silico success rates, structural diversity, and novelty). This has implications for drug discovery and protein engineering.
Key Takeaways
- •SeedProteo is a diffusion-based AI model for de novo all-atom protein design.
- •It leverages a cutting-edge folding architecture and self-conditioning.
- •It excels in both unconditional protein generation and binder design.
- •Achieves state-of-the-art performance in binder design among open-source methods.
Reference
“SeedProteo achieves state-of-the-art performance among open-source methods, attaining the highest in-silico design success rates, structural diversity and novelty.”