bioAI understanding Protein LLMs with AI

The bioAI team, led by Steven Ness, is exploring the innovative intersection of large language models (LLMs) and protein sequences, particularly focusing on the ESM3 (Evolutionary Scale Modelling) framework developed by a team from Meta AI. ESM3 is a cutting-edge Protein Large Language Model that applies LLM techniques to analyze and design green fluorescent proteins (GFPs) from the DNA sequence level. The team undertook a comprehensive examination of the ESM3 architecture, producing a detailed 68-page paper rich in technical content relevant to both artificial intelligence and structural biology. Utilizing scripts to process a markdown file generated from the original PDF, the team executed 24 diverse experiments that shed light on the efficacy and capabilities of ESM3. The results are openly shared on GitHub, alongside a series of markdown files and a YouTube video aimed at demystifying the findings for both expert and non-expert audiences. The project underscores the potential of AI in biotechnology, paving the way for advancements in protein engineering and molecular biology. By making these insights publicly available, the team aims to foster greater understanding and collaboration within the scientific community.