Lombardo F, Blake J F, Curatolo W J
Department of Pharmaceutical Research and Development, Pfizer Inc., Groton, Connecticut 06340, USA.
J Med Chem. 1996 Nov 22;39(24):4750-5. doi: 10.1021/jm960163r.
The ratio of brain-blood partitioning, log(Cbrain/Cblood) (log BB), of a series of compounds that range from simple solutes to histamine H2 antagonists was correlated with computed solvation free energy in water (delta G degree W). The free energies were computed with the AMSOL 5.0 program using the AM1-SM2.1 solvation model. From a set of 55 compounds, a function was developed in which log BB was related to the free energy of solvation as follows: log BB = 0.054 delta G degree W + 0.43 (r = 0.82 and standard error = 0.41). This correlation provided successful prediction of brain-blood partitioning for compounds outside the training dataset. Furthermore, for a set of 10 drugs, delta G degree W correlated well with literature data for the permeability of endothelial cell monolayers from bovine brain microvessels. In neuroscience drug discovery, the use of computed solvation free energies to predict brain penetration provides a facile method for prioritizing synthetic targets.
一系列从简单溶质到组胺H2拮抗剂的化合物的脑血分配比log(Cbrain/Cblood)(log BB)与计算得到的水中溶剂化自由能(δG°W)相关。使用AM1-SM2.1溶剂化模型,通过AMSOL 5.0程序计算自由能。从一组55种化合物中,开发了一个函数,其中log BB与溶剂化自由能的关系如下:log BB = 0.054δG°W + 0.43(r = 0.82,标准误差 = 0.41)。这种相关性成功地预测了训练数据集之外化合物的脑血分配。此外,对于一组10种药物,δG°W与来自牛脑微血管的内皮细胞单层通透性的文献数据相关性良好。在神经科学药物发现中,使用计算得到的溶剂化自由能来预测脑渗透性为确定合成靶点提供了一种简便的方法。