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首页> 外文期刊>Journal of nanotoxicology and nanomedicine. >Drug-Nanoparticle Composites: A Predictive Model for Mass Loading
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Drug-Nanoparticle Composites: A Predictive Model for Mass Loading

机译:药物 - 纳米颗粒复合材料:质量负荷的预测模型

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摘要

Polymeric nanoparticles represent attractive targets for the controlled delivery of therapeutic drugs. Drug-nanoparticle conjugates are convenient targets to enhance solubility and membrane permeability of drugs, prolong circulation time and minimize non-specific uptake. The behavior of drugs-loaded nanoparticles is governed by various factors. Understanding of these effects is very important for design of drug-nanoparticle systems, that could be suitable for treating the particular diseases. The aim of the current study is a complementary molecular docking followed by quantitative structure-activity relationships modeling for drugs payload on polymeric nanoparticles. Twenty-one approved drugs were considered. Docking of drugs was performed towards a simplified polymeric surface. Binding energies agreed well with the observed mass loading. Quantitative structure-activity relationships model supported this data. Effects of electronegativity and hydrophobicity were discussed. Developed model may contribute to the development of other useful nano-sized polymeric drug carriers to deliver a spectrum of therapeutic and imaging agents for medical purposes.
机译:聚合物纳米颗粒代表了治疗药物控制递送的有吸引力的靶标。药物 - 纳米颗粒结合物是提高药物溶解度和膜通透性,延长循环时间并最小化非特异性摄取的靶标。载有药物的纳米颗粒的行为受各种因素的控制。对这些作用的理解对于药物纳米颗粒系统的设计非常重要,这可能适合治疗特定疾病。当前研究的目的是补充分子对接,然后是针对聚合物纳米颗粒的药物有效载荷的定量结构 - 活性关系。考虑了21种批准的药物。对药物的对接进行了简化的聚合表面。结合能与观察到的质量负荷很好地吻合。定量结构 - 活性关系模型支持该数据。讨论了电负性和疏水性的影响。开发的模型可能有助于开发其他有用的纳米尺寸聚合物药物载体,以提供医疗目的的一系列治疗和成像剂。

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