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SandboxAQ's new AQPotency tool applies large-scale quantitative models to predict drug efficacy without requiring detailed 3D protein structures, directly addressing a major bottleneck in early pharmaceutical discovery. By delivering predictions with associated confidence intervals at a fraction of the cost of traditional virtual screening, this advancement accelerates the identification of viable candidates even when structural data is unavailable.
SandboxAQ’s new tool ranks drug candidates for just $1 per 1,000
SandboxAQ’s AQPotency ranks potential drug candidates, scoring molecule effectiveness against disease targets—at a cost of $1 per 1,000 comparisons.
SandboxAQ has launched AQPotency, a new tool that ranks potential drug candidates for as little as $1 per 1,000 comparisons, significantly reducing the cost of older virtual screening methods. The Large Quantitative Model predicts how well a drug will work even without a detailed structural map of the disease target, overcoming a major obstacle in early discovery where many…
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