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Quantum-chemically-calculated mechanistically interpretable molecular descriptors for drug-action mechanism study – a case study of anthracycline anticancer antibiotics

机译:药物 - 作用机制研究的量子化学计算的机械主义解释的分子描述符 - 以蒽环抗生素抗生素为例

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Identification of drug-action mechanisms and understanding of chemical substituents affecting the anticancer activity of drugs are important for drug development. However, the conventional QSAR methods show difficulty in serving these purposes because a certain amount of molecular descriptors are difficult to be interpreted; however, they have low-cost and time-saving features. As such, mechanistically interpretable molecular descriptors were developed in this study in order to make the technique of the structure–activity relationship useful in the drug-action mechanism study. The structure–activity plots of the anthracycline anticancer activity (log?GI _(50) ) against the mechanistically interpretable molecular descriptors: the polarizability (intercalation between the bases of DNA), the function in the dispersion interaction formula (passive diffusion through the lipid bilayers of cell membranes) and the energy change for the one-electron reduction (oxidative stress) were constructed. The descriptors were calculated by quantum chemical methods. The GI _(50) values were obtained from the NCI-60 DTP human tumor cell line screen. This study shows that the intercalation strength and the passive diffusion rate dominantly contribute to cytotoxicity, but not the one-electron reduction according to the structure–activity plots. Therefore, the controversies of their contributions to cytotoxicity arising from the early experimental results are resolved. Moreover, the plots can describe how different chemical substituents affect anticancer activity. Also, the plots reveal that anthracyclines not only bearing morpholino and cyanomorpholino moieties and three-sugar-like units can behave with extraordinary anticancer activity, and the situations are more complicated than simply possessing them. Accordingly, the results challenge the current proposals for the design of anthracycline anticancer antibiotics, and reviewing the drug design strategies is necessary.
机译:鉴定药物 - 作用机制和对影响药物抗癌活性的化学取代基的理解对药物发育是重要的。然而,传统的QSAR方法难以为这些目的提供这些目的,因为难以解释一定量的分子描述符;但是,它们具有低成本和节省时间的功能。因此,在该研究中开发了机械主义解释的分子描述符,以使得在药物作用机制研究中有用的结构活性关系的技术。蒽环植物抗癌活性的结构 - 活性曲线(对数ΔGi_(50))对机械解释的分子描述符:可极化性(DNA碱基之间的嵌段),分散相互作用公式的功能(通过脂质的被动扩散)细胞膜的双层)和一种电子减少(氧化应激)的能量变化。通过量子化学方法计算描述符。从NCI-60 DTP人肿瘤细胞系筛网中获得GI _(50)值。该研究表明,嵌入强度和被动扩散速率主要有助于细胞毒性,而不是根据结构 - 活性图的单电子减少。因此,解决了对早期实验结果产生的细胞毒性的贡献的争议得到了解决。此外,该地块可以描述不同的化学取代基如何影响抗癌活动。此外,该地图揭示了不仅携带吗啉和氰基啉氨基部分和三糖样单位可以表现出具有非凡的抗癌活动,而且情况比简单地拥有它们更复杂。因此,结果挑战目前为蒽环胰岛抗生素设计的建议,并审查药物设计策略是必要的。

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    《RSC Advances》 |2016年第78期|共10页
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    Siu-Kwong Pang;

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