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使用计算对接模型预测非共价药物/DNA 相互作用:超过 1350 种已上市药物的研究。

Prediction of noncovalent Drug/DNA interaction using computational docking models: studies with over 1350 launched drugs.

机构信息

3335 Grand Falls Blvd, Maineville, Ohio.

出版信息

Environ Mol Mutagen. 2013 Oct;54(8):668-81. doi: 10.1002/em.21796. Epub 2013 Jul 26.

Abstract

Noncovalent chemical/DNA interactions, for example, intercalation and groove-binding, may be more important to genomic integrity than previously appreciated, and there may very well be genotoxic consequences of that binding. It is of importance, then, to develop methods allowing a determination or prediction of such interactions. This would have particular utility in the pharmaceutical industry where genotoxicity is, for the most part, disallowed in new drug entities. We have previously used DNA docking simulations to assess if molecules had structure and charge characteristics which could accommodate noncovalent binding via, for example, electrostatic/hydrogen bonding. We here extend those earlier studies by examining a series of over 1,350 "launched" drugs for ability to noncovalently bind 10 different DNA sequences using two computational programs: Autodock and Surflex. These drugs were also evaluated for binding to the crystallographic ATP-binding site of human topoisomerase II. The results obtained clearly demonstrate multiple series of noncovalent DNA binding structure activity relationships which would not have been predicted based on cursory structural examination. Many drugs within these series are genotoxic although not via any commonly recognized structural covalent alerts. The present studies confirm previously implicated features such as N-dialkyl groups and specific N-aryl ketones as potential genotoxic chemical moieties acting through noncovalent mechanisms. These initial studies provide considerable evidence that DNA intercalation may be an important, largely overlooked, source of drug-induced genotoxicity and further suggest involvement of topoisomerase in that genotoxicity.

摘要

非共价化学/DNA 相互作用,例如嵌入和沟结合,可能对基因组完整性比以前认为的更为重要,并且这种结合很可能具有遗传毒性后果。因此,开发允许确定或预测这种相互作用的方法非常重要。这在制药行业尤其有用,因为在新药物实体中,遗传毒性在大多数情况下是不允许的。我们之前使用 DNA 对接模拟来评估分子是否具有结构和电荷特性,可以通过例如静电/氢键来容纳非共价结合。我们在这里通过使用两个计算程序(Autodock 和 Surflex)检查了超过 1350 种“发射”药物,以评估它们与 10 种不同 DNA 序列非共价结合的能力,扩展了早期的研究。这些药物还评估了与人类拓扑异构酶 II 的晶体 ATP 结合位点的结合。所得结果清楚地表明了多种非共价 DNA 结合结构活性关系系列,这些关系不可能基于粗略的结构检查来预测。尽管这些系列中的许多药物没有通过任何公认的结构共价警报,但它们具有遗传毒性。目前的研究证实了先前涉及的特征,例如 N-二烷基和特定的 N-芳基酮,作为通过非共价机制发挥作用的潜在遗传毒性化学部分。这些初步研究提供了相当多的证据,表明 DNA 嵌入可能是药物引起遗传毒性的一个重要且被广泛忽视的来源,并进一步表明拓扑异构酶参与了这种遗传毒性。

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