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A metric called NEM for Normalized Enrichment Measure is introduced for each pharmacophore, which quantifies change in the proportion of active compounds consistent with the pharmacophore compared to the original dataset. Based on this metric, we can identify pharmacophores associated with specific kinases and, conversely, determine all kinases that share similar metric values. This approach enables the characterization of polypharmacological profiles linked to individual pharmacophore hypotheses. We further evaluate the consistency of our results with various biological datasets, including ChEMBL, DrugBank, LINCS, KINOMEscan, and Kinobeads, showing agreement across representative case studies. 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