2024
DOI: 10.1021/jacsau.4c00040
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Proteolysis Targeting Chimera Degraders of the METTL3–14 m6A-RNA Methyltransferase

Francesco Errani,
Annalisa Invernizzi,
Marcin Herok
et al.

Abstract: Methylation of adenine N6 (m 6 A) is the most frequent RNA modification. On mRNA, it is catalyzed by the METTL3−14 heterodimer complex, which plays a key role in acute myeloid leukemia (AML) and other types of blood cancers and solid tumors. Here, we disclose the first proteolysis targeting chimeras (PROTACs) for an epitranscriptomics protein. For designing the PROTACs, we made use of the crystal structure of the complex of METTL3−14 with a potent and selective smallmolecule inhibitor (called UZH2). The optimi… Show more

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Cited by 2 publications
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“…Moreover, the application of emerging technologies offers avenues for refining the selectivity and efficacy of these small molecules. Employing ABPP technology to pinpoint more efficient enzyme targets, utilizing TPP to identify targets with robust cellular activity, harnessing PROTAC [ 243 , 244 ] or molecular glues to directly degrade m 6 A regulator proteins, alongside exploring small molecules that interfere with MTC complex interactions, thus strategically influencing the dynamic equilibrium of m 6 A modification. Moreover, the application of AI and ML technologies in biological activity and target identification, through tools like DEEP Picker for NMR spectroscopy analysis, accelerates the discovery of potential drugs, allowing for the early prediction of the biological effects of compounds, providing key support for drug development [ 240 ].…”
Section: Conclusion and Future Prospectsmentioning
confidence: 99%
“…Moreover, the application of emerging technologies offers avenues for refining the selectivity and efficacy of these small molecules. Employing ABPP technology to pinpoint more efficient enzyme targets, utilizing TPP to identify targets with robust cellular activity, harnessing PROTAC [ 243 , 244 ] or molecular glues to directly degrade m 6 A regulator proteins, alongside exploring small molecules that interfere with MTC complex interactions, thus strategically influencing the dynamic equilibrium of m 6 A modification. Moreover, the application of AI and ML technologies in biological activity and target identification, through tools like DEEP Picker for NMR spectroscopy analysis, accelerates the discovery of potential drugs, allowing for the early prediction of the biological effects of compounds, providing key support for drug development [ 240 ].…”
Section: Conclusion and Future Prospectsmentioning
confidence: 99%