Definition

Protein design uses computational and AI methods to invent or redesign amino-acid sequences with desired structure and function — a core capability in ai-for-science and ai-drug-discovery (vaccines, enzymes, therapeutics).

Key Points

  • Overlaps generative models, structure prediction, and wet-lab validation loops
  • Applied in vaccine antigen design, enzyme engineering, and materials-adjacent biology
  • Complements automated-research and agentic lab workflows

Sources