Summary:
- The article provides a critical analysis of current Protein Language Models (PLMs), arguing that they often prioritize sequence-based pattern matching over a fundamental understanding of physical and chemical biological principles.
- It explores the limitations of these models in generalizing to "out-of-distribution" protein designs, suggesting that incorporating structural and thermodynamic constraints is essential for the next generation of predictive biology.