Department of Pharmacology-Physiology, Institut de Pharmacologie de Sherbrooke, 3001, 12e av nord, Sherbrooke, Québec J1H 5N4, Canada.
Drug Discovery, Pharmaceuticals, Bayer AG, Wuppertal D-42096, Germany.
J Med Chem. 2020 Jul 9;63(13):6774-6783. doi: 10.1021/acs.jmedchem.0c00013. Epub 2020 May 26.
We herein report the first thorough analysis of the structure-permeability relationship of semipeptidic macrocycles. In total, 47 macrocycles were synthesized using a hybrid solid-phase/solution strategy, and then their passive and cellular permeability was assessed using the parallel artificial membrane permeability assay (PAMPA) and Caco-2 assay, respectively. The results indicate that semipeptidic macrocycles generally possess high passive permeability based on the PAMPA, yet their cellular permeability is governed by efflux, as reported in the Caco-2 assay. Structural variations led to tractable structure-permeability and structure-efflux relationships, wherein the linker length, stereoinversion, N-methylation, and peptoids site-specifically impact the permeability and efflux. Extensive nuclear magnetic resonance, molecular dynamics, and ensemble-based three-dimensional polar surface area (3D-PSA) studies showed that ensemble-based 3D-PSA is a good predictor of passive permeability.
我们在此首次全面分析了类肽大环化合物的结构-渗透性关系。总共使用混合固相/溶液策略合成了 47 个大环化合物,然后分别使用平行人工膜渗透性测定法(PAMPA)和 Caco-2 测定法评估它们的被动和细胞渗透性。结果表明,基于 PAMPA,类肽大环化合物通常具有较高的被动渗透性,但正如 Caco-2 测定法所报道的那样,它们的细胞渗透性受外排作用控制。结构变化导致可处理的结构-渗透性和结构-外排关系,其中连接体长度、立体反转、N-甲基化和肽类化合物特异性影响渗透性和外排。广泛的核磁共振、分子动力学和基于集合的三维极性表面积(3D-PSA)研究表明,基于集合的 3D-PSA 是被动渗透性的良好预测因子。