Systematic comparison of Generative AI-Protein Models reveals fundamental differences between structural and sequence-based approaches.
Alexander J. Barnett, Rajendra KC, Pratikshya Pandey, Pamodha Somasiri, Kirsten A. Fairfax, Alex William Hewitt
This study compares generative AI models for protein design, finding structural models produce more confident structures but less diversity, while language models generate more diverse proteins with lower structural confidence.
bioRxiv · Mar 23, 2025 · PreprintSynthetic Biology