Protein language model-generated enzyme sequences exhibit high stability in molecular dynamics simulations
By combining conditional pre-trained language model fine-tuning with dynamic structural evaluation, the framework advances beyond static sequence-based predictions to address the structural and functional dimensions of enzyme behavior, key aspects for both biomedical and industrial applications.