ProteinQure specializes in the computational design of protein-based drugs, particularly peptide therapeutics. The company has developed a cutting-edge platform that combines quantum annealing, reinforcement learning, molecular simulations, machine learning, and high-performance computing. This innovative approach automates a significant portion of the protein drug discovery process, enabling the creation of novel peptides with enhanced properties such as improved stability, binding affinity, and specificity.
ProteinQure's technology incorporates exotic, non-canonical amino acids, expanding the chemical space beyond natural proteins. This allows for the design of highly targeted peptides tailored to specific therapeutic applications, including conjugates with cytotoxic agents, oligonucleotides, and radioisotopes.
In March 2024, ProteinQure reported a significant breakthrough with a computationally designed Peptide Drug Conjugate (PDC) demonstrating remarkable efficacy in heterogeneous patient-derived xenograft models of triple-negative breast cancer. This novel SORT1-targeting PDC exhibited potent antitumor activity, even against cancers resistant to standard chemotherapies and antibody-drug conjugates. These promising results prompted ProteinQure to advance their lead program into IND-enabling studies and prepare for their first clinical trial.
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