Rankovic Zoran
Eli Lilly and Company , 893 South Delaware Street, Indianapolis, Indiana 46285, United States.
J Med Chem. 2017 Jul 27;60(14):5943-5954. doi: 10.1021/acs.jmedchem.6b01469. Epub 2017 Apr 7.
Understanding the "limits and boundaries" of the central nervous system (CNS) property space is a critical aspect of modern CNS drug design. Medicinal chemists are often guided by the physicochemical properties of marketed CNS drugs, which are heavily biased toward "traditional" aminergic targets and commonly described as small lipophilic amines. This miniperspective describes the statistical analysis of the calculated physicochemical properties for a diverse set of ligands for mostly "nontraditional" CNS targets and classified as either "brain penetrant" or "peripherally restricted" on the basis of the experimental mouse brain exposure. The results suggested that (a) the physicochemical property space conducive to brain exposure is larger than the one defined by the marketed CNS drugs and (b) the most critical brain exposure determinants are descriptors of the molecular size and hydrogen bond capacity. These findings led to a modified version of the CNS MPO scoring algorithm, termed CNS MPO.v2.
了解中枢神经系统(CNS)性质空间的“限制和边界”是现代中枢神经系统药物设计的关键环节。药物化学家常常受市售中枢神经系统药物物理化学性质的指导,这些性质严重偏向于“传统”胺能靶点,通常被描述为亲脂性小胺类。本短文描述了对一系列主要针对“非传统”中枢神经系统靶点的配体计算得到的物理化学性质进行的统计分析,并根据实验性小鼠脑内暴露情况将其分类为“脑渗透型”或“外周限制型”。结果表明:(a)有利于脑内暴露的物理化学性质空间比市售中枢神经系统药物所定义的空间更大;(b)最关键的脑内暴露决定因素是分子大小和氢键能力的描述符。这些发现促成了中枢神经系统MPO评分算法的一个修改版本,称为中枢神经系统MPO.v2。