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Physics-Based Method for Modeling Passive Membrane Permeability and Translocation Pathways of Bioactive Molecules

机译:基于物理学的生物活性分子被动膜渗透性和转运途径建模方法

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摘要

Assessment of permeability is a critical step in the drug development process for selection of drug candidates with favorable ADME properties. We have developed a novel physics-based method for fast computational modeling of passive permeation of diverse classes of molecules across lipid membranes. The method is based on heterogeneous solubility−diffusion theory and operates with all-atom 3D structures of solutes and the anisotropic solvent model of the lipid bilayer characterized by transbilayer profiles of dielectric and hydrogen bonding capacity parameters. The optimal translocation pathway of a solute is determined by moving an ensemble of representative conformations of the molecule through the dioleoyl-phosphatidylcholine (DOPC) bilayer and optimizing their rotational orientations in every point of the transmembrane trajectory. The method calculates (1) the membrane-bound state of the solute molecule; (2) free energy profile of the solute along the permeation pathway; and (3) the permeability coefficient obtained by integration over the transbilayer energy profile and assuming a constant size-dependent diffusivity along the membrane normal. The accuracy of the predictions was evaluated against experimental permeability coefficients measured in pure lipid membranes (for 78 compounds, R2 was 0.88 and rmse was 1.15 log units), PAMPA-DS (for 280 compounds, R2 was 0.75 and rmse was 1.59 log units), BBB (for 182 compounds, R2 was 0.69 and rmse was 0.87 log units), and Caco-2/MDCK assays (for 165 compounds, R2 was 0.52 and rmse was 0.89 log units).
机译:渗透性的评估是药物开发过程中选择具有良好ADME特性的候选药物的关键步骤。我们已经开发出一种新颖的基于物理的方法,可以快速计算跨脂质膜的各种分子的被动渗透。该方法基于异质溶解扩散理论,并以全原子3D溶质结构和脂双层的各向异性溶剂模型运行,该模型以介电和氢键合能力参数的跨双层分布为特征。溶质的最佳易位途径是通过使分子的代表性构象的整体移动通过二油酰基磷脂酰胆碱(DOPC)双层并优化其在跨膜轨迹的每个点的旋转方向来确定的。该方法计算(1)溶质分子的膜结合状态; (2)溶质沿渗透途径的自由能分布; (3)渗透系数是通过在跨双层能量分布图上积分并假定沿膜法线的尺寸依赖于常数的常数而获得的。针对纯脂质膜(对于78种化合物,R 2 为0.88和rmse为1.15 log单位),PAMPA-DS(对于280种化合物,R < sup> 2 为0.75,rmse为1.59 log单位),BBB(对于182种化合物,R 2 为0.69,rmse为0.87 log单位),以及Caco-2 / MDCK分析(对于165种化合物,R 2 为0.52,rmse为0.89 log单位)。

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  • 年(卷),期 -1(59),7
  • 年度 -1
  • 页码 3198–3213
  • 总页数 34
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