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基于 3D-QSAR、分子对接和分子动力学模拟设计具有较低血浆蛋白结合率的环境友好型氟喹诺酮衍生物。

Environmentally Friendly Fluoroquinolone Derivatives with Lower Plasma Protein Binding Rate Designed Using 3D-QSAR, Molecular Docking and Molecular Dynamics Simulation.

机构信息

College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China.

MOE Key Laboratory of Resources and Environmental System Optimization, College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China.

出版信息

Int J Environ Res Public Health. 2020 Sep 11;17(18):6626. doi: 10.3390/ijerph17186626.

Abstract

Comparative molecular similarity index analysis (CoMSIA) was used to establish a three-dimensional quantitative structure-activity relationship (3D-QSAR) model with structural parameters of quinolones as the independent variables and plasma protein binding rate (log) as the dependent variable to predict the log values of remaining quinolones in this study. In addition, the mono-substituted and bis-substituted reaction schemes that significantly influenced the plasma protein binding rate of quinolones were determined through an analysis of the 3D-QSAR contour maps. It was found that the replacement of small groups, hydrophobic groups, electronegative groups, or hydrogen bond acceptor groups at the substitution sites significantly reduce the log values of quinolone derivatives. Furthermore, the mechanism of decrease in binding rate between trovafloxacin (TRO) derivatives and plasma protein was revealed qualitatively and quantitatively based on molecular docking and molecular dynamics simulation. After modification of the target molecule, 11 TRO derivatives with low plasma protein binding rates were screened (reduced by 0.50-24.18%). Compared with the target molecule, the molecular genotoxicity and photodegradability of the TRO derivatives was higher (genotoxicity increased by 4.89-21.36%, and photodegradability increased by 9.04-20.56%), and their bioconcentration was significantly lower (by 36.90-61.41%).

摘要

采用比较分子相似性指数分析(CoMSIA)方法,以喹诺酮类化合物的结构参数为自变量,血浆蛋白结合率(log)为因变量,建立三维定量构效关系(3D-QSAR)模型,预测本研究中剩余喹诺酮类化合物的 log 值。此外,通过对 3D-QSAR 轮廓图的分析,确定了显著影响喹诺酮类化合物血浆蛋白结合率的单取代和双取代反应方案。结果发现,取代部位的小基团、疏水基团、带负电荷基团或氢键接受基团的取代会显著降低喹诺酮衍生物的 log 值。此外,基于分子对接和分子动力学模拟,定性和定量揭示了曲伐沙星(TRO)衍生物与血浆蛋白结合率降低的机制。对靶分子进行修饰后,筛选出 11 种具有低血浆蛋白结合率的 TRO 衍生物(降低 0.50-24.18%)。与靶分子相比,TRO 衍生物的分子遗传毒性和光降解性更高(遗传毒性增加 4.89-21.36%,光降解性增加 9.04-20.56%),生物浓缩性显著降低(降低 36.90-61.41%)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3767/7560044/bf2523f9a468/ijerph-17-06626-g001.jpg

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