Learning Objectives:

• Load and use pre-trained protein language models (ESM-2)
• Generate protein embeddings for downstream tasks
• Perform zero-shot similarity search
• Fine-tune models with LoRA (Low-Rank Adaptation)
• Predict DMS stability scores using adapted models