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Multiple Formula Approach for Structure-Cytotoxicity/Antiviral Activity Relationship Studies of Nucleoside Analogs

机译:核苷类似物结构 - 细胞毒性/抗病毒活性关系研究的多种公式方法

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Quantitative structure-activity relationships (QSAR) were developed for a series of purine nucleoside analogs with antiviral activity. The correlations of chemical structure of these purine nucleoside analogs to their toxicity/activity were investigated using molecular similarity analysis. Structure-activity relationship studies and molecular similarity analyses were performed using the molecular descriptors, number of atoms and bonds of a molecule (NAB), maximum common substructure (MaCS), and molecular similarity index (MSI). The antiviral activity measurement used in this study was the 50% effective dose (ED_(50)) in μM. The cytotoxicity measurement used in this study was the 50% cytotoxic dose (CD_(50)) in μM. The biological activities and MSI were utilized to generate a series of correlation equations. The multiple formula approach (MuFA) used the top regression correlation equations, based on several reference compounds, to generate the average estimated CD_(50) and ED_(50) values for a set of testing compounds. The MuFA integrated the effects of structural similarities and dissimilarities in estimating the cytotoxicity and antiviral activity of testing compounds.
机译:为一系列具有抗病毒活性的嘌呤核苷类似物开发了定量结构 - 活性关系(QSAR)。利用分子相似分析研究了这些嘌呤核苷类似物对其毒性/活性的化学结构的相关性。使用的分子描述符,分子(NAB),最大公共子(MACS)的原子和键的数目进行结构 - 活性关系的研究和分子相似的分析,和分子相似性指数(MSI)。本研究中使用的抗病毒活性测量是μm的50%有效剂量(ED_(50))。本研究中使用的细胞毒性测量是μm的50%细胞毒剂量(CD_(50))。利用生物活性和MSI来产生一系列相关方程。多个式方法(MUFA)中使用的顶部回归相关方程,基于几个参考化合物,以产生平均估计CD_(50)和ED_(50)值的一组测试化合物。 MUFA综合了结构相似性和异化依旧估算测试化合物的细胞毒性和抗病毒活性的影响。

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