Deep learning protein language models predict viral antigenic drift by modeling the epistatic fitness landscape of viral surface glycoproteins. By simulating mutational escape trajectories before variants emerge in human populations, generative models identify conserved neutral vulnerabilities for pan-coronavirus vaccines. nature.com