AQPotency available to AWS 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 model from SandboxAQ. Unlike traditional methods, AQPotency predicts how strongly candidate compounds bind to protein targets using only a target UniProt ID and ligand SMILES strings, eliminating the need for 3D crystal structures and opening analysis to previously inaccessible targets like membrane proteins. Deploying AQPotency has been available through Claude via Model Context Protocol since August, and is now also available on Amazon SageMaker, giving teams more flexibility in accessing the model. SandboxAQ notes that it does not collect any metadata about users’ targets or molecules to protect privacy. AQPotency Predicts Small Molecule Potency via UniProt and SMILES Drug discovery teams now have a new tool for rapidly assessing potential compounds. AQPotency is available to AWS commercial customers in North America through the AWS Marketplace. This capability extends analysis to targets inaccessible to traditional structure-based methods, including membrane proteins, mutant panels, and proteins that have not yet been crystallized. Computational chemists can evaluate compound security liability, off-target panels and selectivity early in the discovery process, streamlining the screening of large small molecule libraries. Predictions generated by the model allow teams to prioritize compounds before investing in synthesis, free energy perturbation methods, or wet lab experiments. Deployment is simplified for teams already operating within the AWS ecosystem; customers can subscribe to AQPotency on the AWS Marketplace and deploy it as a SageMaker model package, ensuring confidential data handling throughout the process. Users can interact with the model dynamically via a real-time endpoint or submit large asynchronous jobs for screening millions of ligands. Source: https://www.sandboxaq.com/post/aqpotency-from-sandboxaq-is-now-generally-available-in-aws-marketplace-and-deployable-on-amazon-sagemaker More like thisArtificial IntelligenceTRON DAO & Quantum TOKEN2049 Blockworks Digital Asset Summit AsiaArtificial Intelligence01 Quantum solves AI’s data privacy problem with encryptionArtificial IntelligenceAstra AI agent connects NVIDIA Omniverse libraries for simulationsArtificial IntelligencePasqal’s new workflow turns quantum ideas into QPU experimentsStay currentSee today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals. Tags: Rusty Flint Rusty is a quantum science nerd. He's been into academic science all his life, but spent his formative years doing less academic things. Now he turns his attention to write about his passion, the quantum realm. He loves all things Quantum Physics especially. Rusty likes the more esoteric side of Quantum Computing and the Quantum world. Everything from Quantum Entanglement to Quantum Physics. Rusty thinks that we are in the 1950s quantum equivalent of the classical computing world. While other quantum journalists focus on IBM's latest chip or which startup just raised $50 million, Rusty's over here writing 3,000-word deep dives on whether quantum entanglement might explain why you sometimes think about someone right before they text you. (Spoiler: it doesn't, but the exploration is fascinating) Latest Posts by Rusty Flint: Quantum Moire exciton superlattices switch from opaque to transparent October 11, 2026 Hamad Bin Khalifa University and Quantum Computing Inc. Partner on Quantum Skills October 11, 2026 TRON DAO & Quantum TOKEN2049 Blockworks Digital Asset Summit Asia October 10, 2026