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Application of QSAR Analysis and Different Quantum Chemical Calculation Methods in Activity Evaluation of Selected Fluoroquinolones

机译:QSAR分析及不同量子化学计算方法在所选氟喹啉的活性评价中的应用

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Background: A set of antibiotic fluoroquinolones with confirmed antimicrobial activitywere analyzed with the use of two types of quantum chemical calculation methods and quantitativestructure-activity relationships (QSAR).Objective: The purpose of this study was to demonstrate the common and differentiatingcharacteristics of the above-mentioned chemical compounds alike physicochemically as well aspharmacologically based on the quantum chemical calculations and microbiological activity data.Methods: During the study PCA and MLR analysis were performed, as the types of proposedchemometric approach. The semi-empirical level of in silico molecular modeling was performed forcalculations of molecular descriptors.Results: QSAR models were proposed based on chosen descriptors. The relationship between thestructure and microbiological activity and physicochemical parameters data was able to class anddescribe them with the use of statistically significant molecular descriptors.Conclusion: The applied chemometric approaches revealed the influential features of tested structuresresponsible for the antimicrobial activity of analyzed compounds.
机译:背景:通过使用两种类型的量子化学计算方法和QSAR)的一组抗生素氟喹啉,具有确认的抗菌致敏性。提到的化学化合物相似地基于量子化学计算和微生物活性数据在药物化学中。方法:在研究过程中,进行PCA和MLR分析,作为预防化学方法的类型。分子描述符进行硅分子建模的半经验水平。结果:基于所选择的描述符提出了QSAR模型。结论和微生物活性和物理化学参数数据之间的关系能够使用统计上显着的分子描述符。结论:所应用的化学计量方法显示出对分析化合物的抗微生物活性的测试结构的有影响力的特征。

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