Abstract
ABSTRACTAberrant DNA methylation, a hallmark of acute myeloid leukemia (AML), is catalyzed by DNA methyltransferase 3A (DNMT3A). Approximately 20-30% of AML patients harbor DNMT3A mutations, leading to disrupted DNA methylation patterns and leukemogenesis. To identify potential therapeutic interventions, this study employed computational drug discovery. A pharmacophore model was constructed and utilized to screen a natural product database, yielding a set of promising compounds. Subsequent molecular docking, MM-GBSA calculations, and ADMET profiling identified two compounds, CNP0375130 and CNP0256178, as potential DNMT3A inhibitors. These compounds exhibited favorable binding affinities and demonstrated desirable drug-like properties. Molecular dynamics simulations confirmed stable protein-ligand interactions. These findings suggest that CNP0375130 and CNP0256178 may serve as promising lead compounds for the development of novel anti-leukemic therapies targeting DNMT3A, and contribute to the ongoing efforts to develop targeted therapies for leukemia.
Publisher
Cold Spring Harbor Laboratory