This research applies large language models to decode and design proteins by treating amino acid sequences as biological languages. By identifying hidden structural and functional patterns across massive protein datasets, the work enables creation of novel proteins for medicine, cancer therapy, carbon capture, and environmental remediation beyond naturally evolved biological systems.

This project uses virtual reality to turn drug design into a spatial puzzle game. By fitting molecular “drug” shapes into protein grooves—much like Tetris—players can exploit human spatial intuition to explore new treatments. Using Nano Simbox software, VR proved over ten times more effective than other platforms for complex molecular tasks.

This research designs simplified, custom-built proteins to understand how natural proteins work and to create new biocatalysts. By choosing a desired function and designing the amino-acid sequence and structure from scratch, the project aims to develop clean, efficient protein-based alternatives to environmentally harmful industrial chemistry.