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authors Jonathan Bisson ORCID , James McAlpine , J. Brent Friesen ORCID , Shao-Nong Chen ORCID , James Graham , Guido F. Pauli ORCID
journal Journal of Medicinal Chemistry (RoMEO status: White)
subjects Pharmacognosy Phytochemistry Perspectives Fundamental research IMP bioactivity data mining NAPRALERT
High-throughput biology has contributed a wealth of data on chemicals, including natural products (NPs). Recently, attention was drawn to certain, predominantly synthetic, compounds that are responsible for disproportionate percentages of hits but are false actives. Spurious bioassay interference led to their designation as pan-assay interference compounds (PAINS). NPs lack comparable scrutiny, which this study aims to rectify. Systematic mining of 80+ years of the phytochemistry and biology literature, using the NAPRALERT database, revealed that only 39 compounds represent the NPs most reported by occurrence, activity, and distinct activity.
categories publications science

Posters / Minimizing the problems with “PIMPs” >

A recent article by Baell(1) on the problems experienced by medicinal chemists with pan-assay interference compounds (PAINS) and Shoichet’s work(2) on the impact of aggregation occurring in high throughput screening libraries, prompts a consideration of how these and other similar problems are experienced by pharmacognosists with promiscuous invalid metabolites as panaceas (PIMPs). Contrary to the classical definition of secondary metabolites as being species specific (or near specific), several natural products, particularly in the more extensively investigated plant kingdom, are common across species, genera, and even families (e.
category posters