protein-engineering

Pepti-Agent is a closed-loop AI framework for therapeutic peptide design that uses MCP tools and an LLM controller to iteratively refine sequences based on multi-property profiles, addressing constraints like solubility, hemolysis, and non-fouling.

Researchers at Michigan State University used AlphaFold to predict enzyme structures and engineer heat-resistant crops by stabilizing photosynthesis enzymes.

OpenAI collaborated with Retro Biosciences to develop GPT-4b micro, a specialized version of GPT-4o for protein engineering, achieving 50-fold higher expression of stem cell reprogramming markers with enhanced DNA damage repair capabilities. The findings have been validated across multiple donors and cell types, demonstrating AI's potential to accelerate life sciences research.