Quantum Computing and AI Models Larger Proteins to Find New Drugs | NextBigFuture.com

ProteinQure uses quantum computing, molecular simulations and reinforcement learning to engineer new drugs. They combine state-of-the-art structure-based algorithms, including molecular dynamics simulations and machine learning. Their design platform explores vast regions of sequence space and predict functional properties of therapeutics to rapidly deliver new insights to their partners in pharmaceutical R&D. ProteinQure can obtain structures for protein therapeutics and drug targets (up to ~100 amino acids). Our integrative models can use external data (sequence, structure, and functional measurements) to increase the speed and accuracy of their predictions. This approach has shown strong agreement to experimental structures in blind protein folding