首页> 外文期刊>Journal of chemical theory and computation: JCTC >Multiscale Modeling of Drug-Polymer Nanoparticle Assembly Identifies Parameters Influencing Drug Encapsulation Efficiency
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Multiscale Modeling of Drug-Polymer Nanoparticle Assembly Identifies Parameters Influencing Drug Encapsulation Efficiency

机译:药物-聚合物纳米颗粒组装的多尺度建模可识别影响药物封装效率的参数

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Using a multiscale (dual resolution) approach combining an atomistic (GROMOS96) and coarse-grain (MARTINI) force field, we have been able to simulate the process of drug polymer nanoparticle assembly by nanoprecipitation from mixed solvents. Here, we present the development and application of this method to the interaction of three poly(glycerol adipate) polymer variants with the anticancer drug dexamethasone phosphate. Differences in encapsulation efficiency and drug loading between the polymers are in agreement with the experimental trend. Reference atomistic simulations at key points along the predicted aggregation pathway support the accuracy of the much more computationally efficient multiscale methodology.
机译:使用结合了原子力(GROMOS96)和粗粒(MARTINI)力场的多尺度(双分辨率)方法,我们已经能够通过从混合溶剂中进行纳米沉淀来模拟药物聚合物纳米颗粒组装的过程。在这里,我们介绍了这种方法的发展和应用到三种聚己二酸甘油酯聚合物变体与抗癌药地塞米松磷酸酯的相互作用。聚合物之间的包封效率和载药量方面的差异与实验趋势一致。沿预测的聚集路径关键点的参考原子模拟支持了计算效率更高的多尺度方法的准确性。

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