Jasial · PloS one 2016 · computational bioassay database analysis · n=?

Determining the Degree of Promiscuity of Extensively Assayed Compounds.

Cited 45 times in the scientific literature.

Level 5 - mechanism / opinion, no new human data

Preclinical computational database analysis without human participants (level 5 by design analogy)

PubMed 27082988 · doi:10.1371/journal.pone.0153873 · record verified 2026-08-26

What was done

The authors conducted a computational cheminformatics analysis of public domain bioactive compounds that were extensively tested across hundreds of assays against hundreds of targets. Assay promiscuity was distinguished from target promiscuity and analyzed separately for primary and confirmatory assays, incorporating assay frequencies and inactivity records.

What was found

Differences between assay promiscuity and target promiscuity were small. Across the most extensively tested compounds, the average degree of target promiscuity was 2.6 to 3.4 and the median was 2.0. The abstract reports no specific count for total compounds analyzed.

Why it matters

This paper demonstrates that bioactive compounds retain a low baseline degree of target promiscuity even when subjected to extensive screening, contrasting with the higher promiscuity reported for approved drugs. This supports the hypothesis that promiscuous compounds may be enriched during clinical development or more intensively profiled once therapeutic utility is shown.

Limits

The abstract does not state the exact sample size (number of compounds evaluated). The study relies on public screening database records, which may have heterogeneous assay formats, varying active/inactive cutoffs, and potential reporting biases.

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