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This article focuses on AQPotency, a Large Quantitative Model designed to accelerate small molecule drug discovery by predicting compound binding affinity without requiring 3D crystal structures. Its deployment on Amazon SageMaker allows computational chemists to rapidly screen millions of compounds using standard CPU instances, addressing specific challenges like membrane protein analysis and off-target selectivity. While the model is hosted in a cloud environment, its core function relies on advanced machine learning techniques rather than quantum hardware or general software updates.
AQPotency available to AWS customers in North America

AQPotency, a Large Quantitative Model for potency prediction in small molecule drug discovery from SandboxAQ, is now generally available in AWS Marketplace and deployable on Amazon SageMaker. Assessing AQPotency on AWS enables drug discovery teams to rank millions of compounds in a few hours using CPU instances, with no custom code required, and it is available to AWS commercial customers in North America.
Drug discovery teams can now rank millions of compounds in a few hours using standard CPU instances within their own Amazon Web Services environment with AQPotency, a new quantitative…
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