2017
DOI: 10.1016/j.drudis.2017.05.017
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Pan-assay interference compounds (PAINS) that may not be too painful for chemical biology projects

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Cited by 30 publications
(19 citation statements)
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“…Recently, several studies have demonstrated the inability of PAINS alerts to filter-out promiscuous compounds and their oversensitivity, i.e., rejection of many of non-promiscuous compounds [ 36 , 37 ]. Removal of PAINS filters from the pipeline and their substitution by orthogonal assays [ 37 , 38 ] will greatly increase the attractiveness of chalcones as potential starting points in drug discovery.…”
Section: Design Of New Chalcone Derivativesmentioning
confidence: 99%
“…Recently, several studies have demonstrated the inability of PAINS alerts to filter-out promiscuous compounds and their oversensitivity, i.e., rejection of many of non-promiscuous compounds [ 36 , 37 ]. Removal of PAINS filters from the pipeline and their substitution by orthogonal assays [ 37 , 38 ] will greatly increase the attractiveness of chalcones as potential starting points in drug discovery.…”
Section: Design Of New Chalcone Derivativesmentioning
confidence: 99%
“…In an effort to ameliorate the blind application of these filters, some authors have published data that question their usefulness. One finding which is crucial is the fact that many PAINs substructures can also be found in drugs available in the market [123, 124], meaning that if the filters are used without rational thinking, potentially good drug candidates can be disregarded. Phenotypic assays, which are regaining the value they used to have in the past for screening libraries of compounds since they take the biological setting as a whole, would be incredibly affected by the use of PAINs filters, preventing optimization of the structure, and again, leading to the loss of possible candidates [123].…”
Section: Main Textmentioning
confidence: 99%
“…Therefore, a fit-for-purpose collection of filters for a screening collection requires more than a handful of specific assays using a single technology tested against a small number of compounds sharing a chemical feature, a common criticism of the original PAINS paper that has been recently backed by questioning many filters based on the analysis of the bioactivity profile of all compounds in PubChem. [23][24][25][26][27][28][29][30] In 2008, an analysis of frequent hitters in HTS campaigns conducted in GSK revealed 750 noisy compounds that had been subject to more than 13,000 dose-response experiments. Subsequently, we set out to measure the activity profile of every compound of the GSK HTS collection over hundreds of campaigns using the inhibitory frequency index (IFI), a pragmatic and intuitive measure of promiscuity.…”
Section: Introductionmentioning
confidence: 99%