How does quantum computing contribute to drug discovery?

Xiao Huang: What is special about Shionogi’s “Quantum + AI” project?

DOORM: The project integrates quantum computing into the large language model workflow. Leveraging quantum parallel computing capabilities, it simultaneously balances multiple molecular properties such as activity, toxicity, and druggability. This generates more and higher-quality effective candidate molecules compared to traditional AI methods, shortening early-stage drug screening cycles and reducing R&D risks.