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SandboxAQ's new Large Quantitative Model accelerates early-stage drug discovery by predicting molecule-target interactions in seconds without requiring solved protein structures. This capability removes a significant bottleneck in virtual screening, allowing researchers to evaluate compounds for previously inaccessible biological targets using standard computing resources. The inclusion of confidence assessments further enhances the model's utility for prioritizing candidates in biopharma pipelines.

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AQPotency ranks drug candidates in seconds, SandboxAQ says

Quantum ZeitgeistAugust 26, 20262 min read

SandboxAQ’s AQPotency rapidly assesses and ranks drug candidates, predicting molecule-target interactions in seconds—even without a solved protein structure.

SandboxAQ has launched AQPotency, a new Large Quantitative Model that rapidly ranks potential drug candidates, even when detailed protein structures are unavailable. Unlike existing computational screening methods limited by the need for structural data, AQPotency delivers…

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