期刊
JOURNAL OF MOLECULAR MODELING
卷 28, 期 10, 页码 -出版社
SPRINGER
DOI: 10.1007/s00894-022-05297-3
关键词
MD simulation; Molecular docking; DNA methylation; Epigenetics; Cancer; iPSC reprogramming
Genome methylation plays a crucial role in various biological events, and its crosstalk with gene expression is mediated by MBD2. However, there is a limited number of small molecules that can be used as inhibitors for MBD2. In this study, we screened a compound library and identified two promising candidates, CID3100583 and 8,8-ethylenebistheophylline, which have the potential to disrupt MBD2-DNA interaction.
Genome methylation is a key epigenetic mechanism in various biological events such as development, cellular differentiation, cancer progression, aging, and iPSC reprogramming. Crosstalk between DNA methylation and gene expression is mediated by MBD2, known as the reader of DNA methylation and suggested as a drug target. Despite its magnitude of significance, a scarcely limited number of small molecules to be used as inhibitors have been detected so far. Therefore, we screened a comprehensive compound library to elicit MBD2 inhibitor candidates. Promising molecules were subjected to computational docking analysis by targeting the methylated DNA-binding domain of human MBD2. We could detect reasonable binding energies and docking residues, presumably located in druggable pockets. Docking results were also validated via MD simulation and per-residue energy decomposition calculation. Drug-likeness of these small molecules was assessed through ADMET prediction to foresee off-target side effects for future studies. All computational approaches notably highlighted two compounds named CID3100583 and 8,8-ethylenebistheophylline. These compounds have become prominent as novel candidates, possibly disrupting MBD2(MBD)-DNA interaction. Consequently, these compounds have been considered prospective inhibitors with the usage potential in a wide range of applications from cancer treatment to somatic cell reprogramming protocols.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据