ProteinQure

A quantum leap in drug discovery

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ProteinQure

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  • AlphaFold Quickstart on AWS
    AlphaFold 2.0 is widely regarded as a breakthrough milestone in predicting 3D structures of proteins using a Deep Neural Network approach. Naturally, when the AlphaFold paper was published and its source code made publicly available earlier this month, we curious... Read more
    Source: ProteinQuire - Blog Published on: Jul 22, 2021
  • Auto-fixing annoyances with Black and Pylint
    In the previous post, we discussed using Visual Studio Code to enhance Python editing with various features, such syntax highlighting and keyboard shortcuts. This post introduces the tools Pylint and Black for automatically resolving the problems of Python code style.If you’re... Read more
    Source: ProteinQuire - Blog Published on: Jun 18, 2021
  • Better Code with Less Typing
    Choosing a good code editor for scienceIf an artist is only as good as their tools, then I spent years finger-painting, followed by years getting hand cramps from paint-brushes I couldn’t figure out how to hold correctly.When I was in High... Read more
    Source: ProteinQuire - Blog Published on: Jan 26, 2021
  • Intermediate Python for Busy Scientists
    (is there any other type of scientist?)Although there are many Python tutorials for beginners and scientists, there aren’t any that guide a fledgling Scientific Pythonista through the wide range of Python features and tools. After you’ve mastered functions and familiarized... Read more
    Source: ProteinQuire - Blog Published on: Jan 26, 2021
  • Underrated Machine Learning Papers for Protein Design Applications
    Underrated Machine Learning Papers for Protein DesignProteinQure is a top 100 AI Company determined by CB InsightsCB Insights (a leading tech and startup publication) has included ProteinQure as a top AI company in the Healthcare space for 2020. We thought we could... Read more
    Source: ProteinQuire - Blog Published on: Mar 03, 2020
Project Description

Computational protein drug design.
ProteinQure uses artificial intelligence and quantum computing for the computational design of protein drugs. Antibodies, peptides, and other protein-based drugs have low toxicity and are capable of targeting a broad range of biological targets outside the scope of traditional small molecule therapeutics. Due to their structural complexity and dynamic flexibility, novel protein-based drugs are challenging to discover. Our software enables the rational design of protein-based drugs via atomistic simulations of the protein folding and binding process.
ProteinQure is a Toronto based biotech firm. We create computational R&D tools to perform drug design in silico. We leverage quantum computing, molecular simulations and reinforcement learning to engineer novel therapeutics.

Protein drugs of tomorrow
Despite their inherent advantages, it is very difficult to design protein based therapeutics.
ProteinQure is building scalable technologies to aid in structure based protein design.

Protein Therapeutics
We design small peptide based therapeutics (including cyclic peptides).

Structure Based Design
Exploring protein structures without data or known crystal structures.

Frontier Technologies
Quantum computing, artificial intelligence and molecular dynamics simulations.

Scalable Approach
The first step to designing large protein-based drugs beyond the current paradigm.

Project Details
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