Bioactive Xanthone C-glycoside Derivatives – QSAR Approach

Q3 Pharmacology, Toxicology and Pharmaceutics
V. N. Aksenova, M. A. Morozova, A. V. Syroeshkin
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Abstract

Introduction. Xanthone glycosides have unique structures and properties. Many efforts focus on the search for C-glycoside derivatives of mangiferin with higher bioavailability. The application of the QSAR approach allows for the optimization of the search for novel xanthone derivatives with the desired characteristics. Aim. Using available descriptors of chemical structure, physical-chemical properties, and biological activity, analyze a sample set of known homologs and analogs of mangiferin to QSAR prognosis bioactivity of new xanthone C-glycosides. Materials and methods. 26 molecules of natural homologs and modified derivatives of mangiferin formed the analyzed sample set. Topological graphs of compounds were constructed using ChemicPen software. ChemicDescript software was used for the calculation of molecular descriptors, including the Balaban index. Physicochemical characteristics of molecules as well as Lipinski's rule criteria were calculated in Molinspiration. The spectrum of the most probable ( P a > 0.7) biological activity of the described compounds were predicted using Pass Online. The software Origin (OriginLab, USA) was used for the graphical representation of the results. Results and discussion. Mangiferin and its natural homologs are the most hydrophilic compounds. The hydrolysis of the C-glycosidic bond, alkylation, acylation, and the introduction of an amino substituent radical into the mangiferin structure led to the increase of its lipophilic properties. The spectrum of the most probable biological activities of the described molecules: antitumor, antioxidant, and cardioprotective effects. The results of ADMET modeling based on the substance-drug similarity criteria showed that only 4 compounds correspond to the rule of five. We proposed the validation model to predict bioactivity from lipophilicity and molecule structure described with Balaban index. The error of prediction obtained in a result of cross-validation turned out to be about less than 3 %. Conclusion. A correlation between the structure and properties of the molecules discussed has been demonstrated. The obtained results can be used for further prediction of the properties of natural and synthetic xanthone C-glycosides and directed synthesis of new active compounds.
生物活性山酮c -糖苷衍生物- QSAR方法
介绍。山酮苷具有独特的结构和性质。许多人都在努力寻找具有较高生物利用度的芒果苷c -糖苷衍生物。QSAR方法的应用允许优化搜索具有所需特性的新型山酮衍生物。的目标。利用现有的化学结构、物理化学性质和生物活性描述符,分析了一组已知的芒果苷同源物和类似物对新口山酮c -糖苷QSAR预后生物活性的影响。材料和方法。26个芒果苷的天然同源物和修饰衍生物组成了分析的样品集。使用ChemicPen软件构建化合物的拓扑图。使用ChemicDescript软件计算分子描述符,包括Balaban指数。Molinspiration计算了分子的物理化学特性和利平斯基规则准则。最可能的(P a >0.7)利用Pass Online预测了所述化合物的生物活性。使用Origin软件(OriginLab, USA)对结果进行图形化表示。结果和讨论。芒果苷及其天然同系物是最亲水的化合物。c -糖苷键的水解、烷基化、酰化以及在芒果苷结构中引入氨基取代基导致其亲脂性的增加。描述的分子最可能的生物活性谱:抗肿瘤、抗氧化和心脏保护作用。基于物药相似度标准的ADMET建模结果显示,只有4种化合物符合5规则。我们提出了用Balaban指数描述的亲脂性和分子结构来预测生物活性的验证模型。交叉验证结果的预测误差小于3%。结论。所讨论的分子的结构和性质之间的关系已被证明。所得结果可用于进一步预测天然和合成的克山酮c -糖苷的性质,并指导新的活性化合物的合成。
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来源期刊
Drug Development and Registration
Drug Development and Registration Pharmacology, Toxicology and Pharmaceutics-Pharmaceutical Science
CiteScore
1.20
自引率
0.00%
发文量
61
审稿时长
8 weeks
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