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首页> 外文期刊>Journal of Medicinal Chemistry >A High-Throughput Cell-Based Method to Predict the Unbound Drug Fraction in the Brain
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A High-Throughput Cell-Based Method to Predict the Unbound Drug Fraction in the Brain

机译:一种基于高通量细胞的方法来预测大脑中未结合的药物部分

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Optimization of drug efficacy in the brain requires understanding of the local exposure to unbound drug at the site of action. This relies on measurements of the unbound drug fraction (f_(u,brain)), which currently requires access to brain tissue. Here, we present a novel methodology using homogenates of cultured cells for rapid estimation of f_(u,brain). In our setup, drug binding to human embryonic kidney cell (HEK293) homogenate was measured in a small-scale dialysis apparatus. To increase throughput, we combined drugs into cassettes for simultaneous measurement of multiple compounds. Our method estimated f_(u,brain) with an average error of 1.9-fold. We propose that our simple method can be used as an inexpensive, easily available and high-throughput alternative to brain tissues excised from laboratory animals. Thereby, estimates of unbound drug exposure can now be implemented at a much earlier stage of the drug discovery process, when molecular property changes are easier to make.
机译:要优化大脑中的药物疗效,需要了解作用部位未结合药物的局部暴露情况。这取决于对未结合的药物部分(f_(u,brain))的测量,该部分当前需要进入脑组织。在这里,我们提出了一种使用培养细胞匀浆快速估计f_(u,brain)的新颖方法。在我们的设置中,在小型透析仪中测量了药物与人胚肾细胞(HEK293)匀浆的结合。为了提高通量,我们将药物组合到盒中以同时测量多种化合物。我们的方法估计f_(u,brain)的平均误差为1.9倍。我们建议,我们的简单方法可以用作从实验动物切除的脑组织的廉价,易于获得和高通量的替代方法。因此,现在可以在更容易进行分子特性更改的药物发现过程的更早阶段对未结合药物的暴露进行估算。

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