ProteinQure uses artificial intelligence and physics based methods for the computational design of de-novo protein therapeutics. Antibodies, peptides, and other protein-based drugs are capable of targeting a broad range of biological targets outside the scope of traditional small molecule therapeutics. Due to their structural complexity, size and dynamic flexibility, computational methods for biologics are just now becoming possible. Our computational platform enables the world leading drug discovery companies to advance their early stage programs and is less data dependent than the alternatives.
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Welcome to computational protein drug design.
We are unlocking the potential of protein based therapeutics
We design novel peptides (incl. cyclic and non-natural). We've also begun to work on antibodies.
We do not need large experimental data sets.
We design new hits with low resolution structures
and < 1000 data points.
We don't sell software, we partner with
the world's largest pharma companies
Quantum computing, artificial intelligence and molecular dynamics simulations.
ProteinQure is a computational platform for protein drug discovery. We partner with pharma to deliver experimentally validated novel chemical matter. We combine molecular simulations, machine learning and high performance computing algorithms to perform structure-based drug design. These physics based methods make us less dependent on large data sets. We have 3 large commercial partnerships (see our partnering page).
Our partnerships involve wetlab validation and areas where data availability is often a challenge (GPCR and intracellular targets, non-natural amino acids etc.). We focus on novel peptides optimized for binding, specificity and other pharmacokinetic properties. In addition we engineer proteins to incorporate multiple binding domains. Our platform allows our partners to leverage their proprietary wetlab technologies to interrogate biology in new ways.
We design hits which our novel chemical entities. Our platform is designed to iterate with experimental results to save you time and money.
We perform iterative optimization of therapeutic leads to preserve properties like binding affinity, selectivity, stability and solubility. This multi-parameter optimization requires a search over vast areas of sequence space.
We design large protein libraries (for display methods) where every member incorporates computationally designed motifs.
Despite their inherent advantages, it is very difficult to design protein based therapeutics.
Computational tools have been previously held back because of proteins' larger size and the lack of available structural data.
We leverage physics based methods and novel machine learning algorithms to overcome these challenges.
Proteins can target a wider range of binding sites compared to small molecules. We work on difficult targets including GPCRs and intracellular targets.
Our therapeutics are engineered to be highly specific. Reducing unintended off target effects.
We engineer therapeutics with multiple binding epitopes. Helping to optimize new modalities.
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ENGINEERED NOT DISCOVERED
We are located in downtown Toronto; one of the fastest growing tech hubs in North America. At the heart of the university and life sciences ecosystems, we benefit from great relationships with the surrounding players in AI and biotech.
Interested in learning more? Come talk to us!
Office Address: 119 Spadina Ave Suite 304, Toronto, ON M5V 2L1, Canada
E-Mail: team@proteinqure.com
Web: www.proteinqure.com
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