Our company, ProteinQure, will use quantum computing and artificial intelligence for the computational design of protein-based drugs. These drugs are hard to design because we only have structural data for 150,000 proteins. However, in small peptides alone there are 10^65 potential amino acid sequences. Reinforcement learning and molecular dynamics simulations are the key to exploring the vast therapeutic potential of this space. We are computationally performing lead generation and optimization of drugs using this novel approach.
Quantum computers speed up the molecular dynamics simulations. We are performing computational optimizations required to simulate protein folding with quantum computers and using these outputs in our classical algorithms. This speed up increases our iteration speed so that we can perform reinforcement learning on the candidate amino acid sequences. PQ.zero will enable the iterative refinement of protein-drugs for binding affinity, stability, or immunogencity, with an initial focus on cyclic peptides.
No products posted yet
No services posted yet
This data is part of our proprietary analytics report:
This service is currently only supported on the desktop screens, please, use this service from your desktop or laptop for correct visualization and functionality