Conventional workflows following DEL screens tend to overlook most of the screening data. We present a chemomic approach with case studies that transforms this underused information into structure-function insights, guiding medicinal chemistry. By integrating analytics, pharmacophore modeling, and predictive SAR, we accelerate hit-to-lead optimization, uncover novel chemical space, and turn DEL datasets into actionable discovery strategiesConventional workflows following DEL screens tend to overlook most of the screening data. We present a chemomic approach with case studies that transforms this underused information into structure-function insights, guiding medicinal chemistry. By integrating analytics, pharmacophore modeling, and predictive SAR, we accelerate hit-to-lead optimization, uncover novel chemical space, and turn DEL datasets into actionable discovery strategies.

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