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肼屈嗪与人DNA甲基转移酶1的分子建模和分子动力学研究

Molecular modeling and molecular dynamics studies of hydralazine with human DNA methyltransferase 1.

作者信息

Singh Narender, Dueñas-González Alfonso, Lyko Frank, Medina-Franco Jose L

机构信息

Torrey Pines Institute for Molecular Studies, 11350 SW Village Parkway, Port St. Lucie, FL 34987, USA.

出版信息

ChemMedChem. 2009 May;4(5):792-9. doi: 10.1002/cmdc.200900017.

Abstract

DNA methyltransferases (DNMTs) are a family of enzymes that methylate DNA at the C5 position of cytosine residues, and their inhibition is a promising strategy for the treatment of various developmental and proliferative diseases, particularly cancers. In the present study, a binding model for hydralazine, with a validated homology model of human DNMT, was developed by the use of automated molecular docking and molecular dynamics simulations. The docking protocol was validated by predicting the binding mode of 2'-deoxycytidine, 5-azacytidine, and 5-aza-2'-deoxycytidine. The inhibitory activity of hydralazine toward DNMT may be rationalized at the molecular level by similar interactions within the binding pocket (e.g., by a similar pharmacophore) as established by substrate-like deoxycytidine analogues. These interactions involve a complex network of hydrogen bonds with arginine and glutamic acid residues that also play a major role in the mechanism of DNA methylation. Despite the different scaffolds of other non-nucleoside DNMT inhibitors such as procaine and procainamide, the current modeling work reveals that these drugs exhibit similar interactions within the DNMT1 binding site. These findings are valuable in guiding the rational design and virtual screening of novel DNMT inhibitors.

摘要

DNA甲基转移酶(DNMTs)是一类能使胞嘧啶残基的C5位置发生DNA甲基化的酶,抑制这些酶是治疗各种发育性和增殖性疾病,尤其是癌症的一种有前景的策略。在本研究中,通过使用自动分子对接和分子动力学模拟,建立了肼屈嗪与人DNMT有效同源模型的结合模型。通过预测2'-脱氧胞苷、5-氮杂胞苷和5-氮杂-2'-脱氧胞苷的结合模式对对接方案进行了验证。肼屈嗪对DNMT的抑制活性可以在分子水平上通过结合口袋内类似的相互作用(例如,通过类似的药效团)来解释,这种相互作用由类似底物的脱氧胞苷类似物所建立。这些相互作用涉及与精氨酸和谷氨酸残基形成的复杂氢键网络,这些残基在DNA甲基化机制中也起着主要作用。尽管其他非核苷类DNMT抑制剂如普鲁卡因和普鲁卡因酰胺具有不同的支架结构,但目前的建模工作表明,这些药物在DNMT1结合位点内表现出类似的相互作用。这些发现对于指导新型DNMT抑制剂的合理设计和虚拟筛选具有重要价值。

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