SOURCE-LINKED INTELLIGENCE

Predicting Quantifiability from Primary Screens to Prioritize Dose-Response Profiling

arXiv · AI, language, vision and robotics · article · Aug 27, 2026 · UTC

High-throughput drug screening relies on low-cost primary assays to prioritize compounds for more expensive dose-response profiling, where potency is ultimately quantified. Current screening strategies largely focus on identifying compounds that will confirm biological activity on follow-up, implicitly assuming that confirmed activity will also yield a usable potency estimate. However, confirmed biological activity in screening does not necessarily translate into a quantifiable potency, because active compounds can still fail to produce a reportable dose-response estimate. We therefore present

Read original source ↗ Open in workspace

recordType

paper

region

Global