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用于预测血脑屏障通透性的药物表面活性分析

Surface activity profiling of drugs applied to the prediction of blood-brain barrier permeability.

作者信息

Suomalainen Pekka, Johans Christoffer, Söderlund Tim, Kinnunen Paavo K J

机构信息

Kibron Inc., P.O. Box 141, FIN-00171 Helsinki, Finland.

出版信息

J Med Chem. 2004 Mar 25;47(7):1783-8. doi: 10.1021/jm0309001.

Abstract

The present study describes a novel in vitro platform for physicochemical profiling of compounds, based on their impact on the air/water interfacial tension. Interfacial partitioning coefficient, cross-sectional area, and critical micelle concentration were derived from the Gibbs adsorption isotherms recorded for 76 structurally diverse drugs. An approximation for the membrane partitioning coefficient, K(memb), is introduced and calculated for the measured compounds. This methodology provides a fully automatic, high-throughput screening technique for compound characterization, yielding precise thermodynamic information on the partitioning behavior of molecules at air/water interfaces, which can be directly related to their anisotropic interaction with lipid bilayers in biological membranes. The latter represents the barrier for the passive entry of compounds into cells. The surface activity profiles are shown to correlate to the ability of the compounds to pass passively through the blood-brain barrier.

摘要

本研究描述了一种基于化合物对空气/水界面张力的影响对其进行物理化学分析的新型体外平台。界面分配系数、横截面积和临界胶束浓度是从为76种结构各异的药物记录的吉布斯吸附等温线中推导出来的。引入并计算了所测化合物的膜分配系数K(memb)的近似值。该方法为化合物表征提供了一种全自动、高通量筛选技术,可产生有关分子在空气/水界面分配行为的精确热力学信息,这与它们在生物膜中与脂质双层的各向异性相互作用直接相关。后者是化合物被动进入细胞的屏障。表面活性图谱显示与化合物被动穿过血脑屏障的能力相关。

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