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Developing an in silico model of the modulation of base excision repair using methoxyamine for more targeted cancer therapeutics

机译:开发使用甲氧基胺调节碱基切除修复的计算机模型,用于更具针对性的癌症治疗

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Base excision repair (BER) is a major DNA repair pathway involved in the processing of exogenous non-bulky base damages from certain classes of cancer chemotherapy drugs as well as ionising radiation (IR). Methoxyamine (MX) is a small molecule chemical inhibitor of BER that is shown to enhance chemotherapy and/or IR cytotoxicity in human cancers. In this study, the authors have analysed the inhibitory effect of MX on the BER pathway kinetics using a computational model of the repair pathway. The inhibitory effect of MX depends on the BER efficiency. The authors have generated variable efficiency groups using different sets of protein concentrations generated by Latin hypercube sampling, and they have clustered simulation results into high, medium and low efficiency repair groups. From analysis of the inhibitory effect of MX on each of the three groups, it is found that the inhibition is most effective for high efficiency BER, and least effective for low efficiency repair.
机译:碱基切除修复(BER)是一种主要的DNA修复途径,涉及某些类型的癌症化疗药物以及电离辐射(IR)对外源性非大块碱基损伤的处理。甲氧胺(MX)是BER的一种小分子化学抑制剂,已显示出可增强人类癌症中的化学治疗和/或IR细胞毒性。在这项研究中,作者使用修复途径的计算模型分析了MX对BER途径动力学的抑制作用。 MX的抑制效果取决于BER效率。作者使用拉丁超立方体采样生成的不同蛋白质浓度组生成了可变效率组,并将模拟结果聚类为高,中和低效率修复组。通过分析MX对三组中的每组的抑制作用,发现该抑制对高效BER最有效,而对低效率修复最不有效。

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