Empire AI is a New York state initiative focused on building advanced computing infrastructure for artificial intelligence. One of its early applications is accelerating protein-structure prediction, a core part of drug discovery.Where traditional methods take weeks to model how a protein folds, Empire AI systems can generate accurate predictions in hours.

Proteins are the building blocks of life, and their structure determines how they interact with cells, drugs, and diseases. Understanding these shapes allows researchers to design drugs that bind more effectively, improving safety and success rates.

Traditional challenges:

By applying large AI models to protein folding, Empire AI helps researchers pinpoint potential drug candidates much earlier in the process.

Empire AI relies on advanced computing clusters optimised for AI workloads. These clusters combine GPUs, large memory capacity, and fast interconnects designed for machine learning.

Step in Workflow

Empire AI Timeline

Protein folding simulations

Screening drug candidates

Refining models with new data

This speed allows researchers to test more hypotheses, filter poor candidates earlier, and shorten the time between concept and clinical trials.