Researchers are exploring the capabilities of deep learning models in understanding protein-ligand interactions, with some studies suggesting breakthroughs in areas such as protein binder design and compound efficacy prediction. However, there are also indications that these models may not fully grasp the underlying physics, potentially limiting their effectiveness in drug design. The role of physics in AI-driven protein science is a subject of ongoing investigation and debate.