ACD/Labs, Inc., A. Mickeviciaus 29, LT-08117 Vilnius.
Chem Biodivers. 2009 Nov;6(11):2050-4. doi: 10.1002/cbdv.200900079.
This study presents a mechanistic QSAR (quantitative structure-activity relationship) analysis of blood-brain barrier (BBB) penetration of drugs and drug-like compounds governed by passive diffusion in rats and mice. The analyzed data included a previously compiled set of almost 200 experimental BBB permeation rates (expressed as log PS values) as well as steady-state brain/plasma distribution ratios for ca. 500 compounds (represented as log BB constants) that were considered free of carrier-mediated transport and other unwanted effects. These data were modeled in terms of nonlinear lipophilicity and ionization dependences. The necessity to separate the influence of drug binding to plasma and brain constituents on the distribution ratio is discussed. Preliminary results demonstrate that, if both the rate and extent of BBB penetration are considered, it is possible to estimate whether a given compound may exhibit central nervous system (CNS) penetration.
本研究提出了一种基于机制的定量构效关系(QSAR)分析,用于研究药物和类药化合物在大鼠和小鼠中通过被动扩散穿透血脑屏障(BBB)的机制。分析的数据包括之前编译的近 200 个实验 BBB 渗透率(表示为 log PS 值)以及约 500 个化合物的稳态脑/血浆分布比(表示为 log BB 常数),这些化合物被认为没有载体介导的转运和其他不需要的影响。这些数据是根据非线性脂溶性和离解依赖性进行建模的。讨论了分离药物与血浆和脑成分结合对分布比影响的必要性。初步结果表明,如果同时考虑 BBB 穿透的速率和程度,就有可能估计给定的化合物是否可能表现出对中枢神经系统(CNS)的穿透。