Fluorescence polarization-based fragment screen identifies inhibitors of APOBEC3A and APOBEC3B
Brunello, J. S.; Allegakoen, H. R.; Li, W.; Revalde, J. L.; Bhadoria, R.; Sanders, C. M.; Arkin, M. R.; Ostrem, J. M. L.
Show abstract
APOBEC3A and APOBEC3B are antiviral cytidine deaminases found to drive cancer-associated mutagenesis, contributing to tumor evolution and therapeutic resistance across multiple cancer types. Inhibiting these enzymes holds promise for prolonging response to a wide range of cancer therapies by delaying development of resistance. However, APOBEC3A and APOBEC3B remain challenging drug targets, with no potent and selective small molecule inhibitors reported. Here, we use a fluorescence polarization-based assay to identify small molecules inhibitors of the APOBEC3A-single-stranded DNA interaction. From a library of 2,400 disulfide compounds, we identified 64 hits (mean polarization +/- 3 sigma, hit rate of 2.7%). Intact protein mass spectrometry revealed that a subset of compounds covalently engages A3A at cysteine 64, including Compounds 1 and 2. Compounds 1 and 2 disrupt APOBEC3A/APOBEC3B-single-stranded DNA interactions and inhibit APOBEC3A/APOBEC3B deaminase activity in a dose-dependent manner, with micromolar IC50. Surprisingly, inhibition of APOBEC3A/APOBEC3B by Compounds 1 and 2 is independent of covalent tethering to cysteine, suggesting a predominantly non-covalent mode of binding. Together, these studies establish an integrated workflow for APOBEC ligand discovery and identify Compounds 1 and 2 as starting points for developing chemical probes to investigate APOBEC-driven mutagenesis and therapeutic resistance.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Discovery of two structurally distinct classes of inhibitors targeting the nuclease MUS81 and enhancing efficacy of chemotherapy in cancer cells 95%
- Covalent targeting leads to the development of LIMK1 isoform-selective inhibitors 94%
- Development of potent and selective CK1α Molecular Glue Degraders 94%
Similar papers in this journal
- Machine learning-augmented molecular dynamics simulations (MD) reveal insights into the disconnect between affinity and activation of ZTPriboswitch ligands 92%
- Development of DuoMYC: a synthetic cell penetrant miniprotein that efficiently inhibits the oncogenic transcription factor MYC 92%
- Discovery and biosynthesis of biffamycin A, a novel glycotetrapeptide antibiotic 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.