The bromodomain and extra terminal (BET) protein family recognizes acetylated lysines within histones and transcription factors using two N-terminal bromodomains, D1 and D2. The protein−protein interactions between BET bromodomains, acetylated histones, and transcription factors are therapeutic targets for BET-related diseases, including inflammatory disease and cancer. Prior work demonstrated that methylated-1,2,3triazoles are suitable N-acetyl lysine mimetics for BET inhibition. Here we describe a structure−activity relationship study of triazole-based inhibitors that improve affinity, D1 selectivity, and microsomal stability. These outcomes were accomplished by targeting a nonconserved residue, Asp144 and a conserved residue, Met149, on BRD4 D1. The lead inhibitors DW34 and 26 have a BRD4 D1 K d of 12 and 6.4 nM, respectively. Cellular activity was demonstrated through suppression of c-Myc expression in MM.1S cells and downregulation of IL-8 in TNF-α-stimulated A549 cells. These data indicate that DW34 and 26 are new leads to investigate the anticancer and anti-inflammatory activity of BET proteins.

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Meclofenamate is a non-steroidal anti-inflammatory drug used in the treatment of mild to moderate pain yet poses a rare risk of hepatotoxicity through an unknown mechanism. NSAID bioactivation is a common molecular initiating event for hepatotoxicity. Thus, we hypothesized a similar mechanism for meclofenamate and leveraged computational and experimental approaches to identify and characterize its bioactivation. Analyses employing our XenoNet model indicated possible pathways to meclofenamate bioactivation into 19 reactive metabolites subsequently trapped into glutathione adducts. We describe the first reported bioactivation kinetics for meclofenamate and relative importance of those pathways using human liver microsomes. The findings validated only four of the many bioactivation pathways predicted by modeling. For experimental studies, dansyl glutathione was a critical trap for reactive quinone metabolites and provided a way to characterize adduct structures by mass spectrometry and quantitate yields during reactions. Of the four quinone adducts, we were able to characterize structures for three of them. Based on kinetics, the most efficient bioactivation pathway led to the monohydroxy para-quinone-imine followed by the dechloro-ortho-quinone-imine. Two very inefficient pathways led to the dihydroxy ortho-quinone and a likely multiply adducted quinone. When taken together, bioactivation pathways for meclofenamate accounted for approximately 13% of total metabolism. In sum, XenoNet facilitated prediction of reactive metabolite structures while quantitative experimental studies provided a tractable approach to validate actual bioactivation pathways for meclofenamate. Our results provide a foundation for assessing reactive metabolite load more accurately for future comparative studies with other NSAIDs and drugs in general. Significance Statement Meclofenamate bioactivation may initiate hepatotoxicity yet common risk assessment approaches are often cumbersome and inefficient and yield qualitative insights that do not scale This article has not been copyedited and formatted. The final version may differ from this version.