Journal of Medicinal Chemistry · 2016 · 90 citations · 13 references
PharmacyMedicinal ChemistryPharmacologyDrug DesignDrug DiscoveryProtein-protein InteractionsChemical Library DesignLigand BindingLigand-based DesignAcute LeukemiasAcute Myeloid Leukemia ProgressionLysine Methyltransferase ActivityProtein Binding In OncologyProtein-protein Interaction ModulesSmall Molecule Targeting LigandsSmall Molecule TherapeuticsStructure-based Selectivity Design
WD repeat-containing protein 5 (WDR5) is an important component of the multiprotein complex essential for activating mixed-lineage leukemia 1 (MLL1). Rearrangement of the MLL1 gene is associated with onset and progression of acute myeloid and lymphoblastic leukemias, and targeting the WDR5-MLL1 interaction may result in new cancer therapeutics. Our previous work showed that binding of small molecule ligands to WDR5 can modulate its interaction with MLL1, suppressing MLL1 methyltransferase activity. Initial structure-activity relationship studies identified N-(2-(4-methylpiperazin-1-yl)-5-substituted-phenyl) benzamides as potent and selective antagonists of this protein-protein interaction. Guided by crystal structure data and supported by in silico library design, we optimized the scaffold by varying the C-1 benzamide and C-5 substituents. This allowed us to develop the first highly potent (Kdisp < 100 nM) small molecule antagonists of the WDR5-MLL1 interaction and demonstrate that N-(4-(4-methylpiperazin-1-yl)-3'-(morpholinomethyl)-[1,1'-biphenyl]-3-yl)-6-oxo-4-(trifluoromethyl)-1,6-dihydropyridine-3-carboxamide 16d (OICR-9429) is a potent and selective chemical probe suitable to help dissect the biological role of WDR5.
13
Gain-of-function p53 mutants co-opt chromatin pathways to drive cancer growth
Jiajun Zhu, Morgan A. Sammons, Greg Donahue et al. · Nature · 2015 · 489 citations · Full text
Targeting MLL1 H3K4 Methyltransferase Activity in Mixed-Lineage Leukemia
Fang Cao, Elizabeth C. Townsend, Hacer Karataş et al. · Molecular Cell · 2014 · 302 citations · Full text
Mouse models of human AML accurately predict chemotherapy response
Johannes Zuber, Ina Radtke, Timothy S. Pardee et al. · Genes & Development · 2009 · 279 citations · Full text
Medicine, Cancer Biology, Oncology +13