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J Med Chem. 2023 Feb 23;66(4):2347-2360. doi: 10.1021/acs.jmedchem.2c01577. Epub 2023 Feb 8.
2
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Xenobiotica. 2022 Jul;52(7):742-750. doi: 10.1080/00498254.2022.2133648. Epub 2022 Oct 13.
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QSAR models for P-glycoprotein transport based on a highly consistent data set.基于高度一致数据集的 P-糖蛋白转运的定量构效关系模型。
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Moving beyond rules: the development of a central nervous system multiparameter optimization (CNS MPO) approach to enable alignment of druglike properties.超越规则:中枢神经系统多参数优化 (CNS MPO) 方法的开发,以实现类似药物特性的一致性。
ACS Chem Neurosci. 2010 Jun 16;1(6):435-49. doi: 10.1021/cn100008c. Epub 2010 Mar 25.
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平衡渗透率指数:一种用于改善体外渗透性的多参数指数。

Balanced Permeability Index: A Multiparameter Index for Improved In Vitro Permeability.

作者信息

Weiss Dahlia R, Baylon Javier L, Evans Ethan D, Paiva Anthony, Everlof Gerry, Cutrone Jingfang, Broccatelli Fabio

机构信息

Bristol-Myers Squibb Company, Redwood City, California 94063, United States.

Bristol-Myers Squibb Company, San Diego, California 92121, United States.

出版信息

ACS Med Chem Lett. 2024 Mar 19;15(4):457-462. doi: 10.1021/acsmedchemlett.3c00542. eCollection 2024 Apr 11.

DOI:10.1021/acsmedchemlett.3c00542
PMID:38628792
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11017404/
Abstract

The optimization of passive permeability is a key objective for orally available small molecule drug candidates. For drugs targeting the central nervous system (CNS), minimizing P-gp-mediated efflux is an additional important target for optimization. The physicochemical properties most strongly associated with high passive permeability and lower P-gp efflux are size, polarity, and lipophilicity. In this study, a new metric called the Balanced Permeability Index (BPI) was developed that combines these three properties. The BPI was found to be more effective than any single property in classifying molecules based on their permeability and efflux across a diverse range of chemicals and assays. BPI is easy to understand, allowing researchers to make decisions about which properties to prioritize during the drug development process.

摘要

被动渗透性的优化是口服小分子候选药物的一个关键目标。对于靶向中枢神经系统(CNS)的药物,将P-糖蛋白介导的外排降至最低是优化的另一个重要目标。与高被动渗透性和较低P-糖蛋白外排最密切相关的物理化学性质是大小、极性和亲脂性。在本研究中,开发了一种名为平衡渗透指数(BPI)的新指标,它综合了这三种性质。结果发现,在根据各种化学物质和试验的渗透性和外排对分子进行分类方面,BPI比任何单一性质都更有效。BPI易于理解,使研究人员能够在药物开发过程中决定优先考虑哪些性质。