Protein foundation models: Apply deep learning to model complex relationships between protein sequences, structures, and functions.

Protein applications: Enzyme discovery, protein design, protein engineering, and protein function prediction.

Genome foundation models: Large-scale genomic language models for codon optimization, functional element design, and mutation prediction.

Gene regulatory network modeling: Multi-modal integration to predict and understand gene regulatory networks.