摘要
血脑屏障(BBB)是控制循环(心血管)系统和中枢神经系统(CNS)之间的双向物质交通的复杂系统。它几乎完美地用于调节脑内稳态并允许选择性转运对脑功能至关重要的分子。对于潜在的候选药物,CNS定向的神经药物以及外围的主要目标,药物在循环中获得进入CNS的程度似乎至关重要。随着纳米药理学的出现,药物纳米载体的BBB渗透性问题获得了新的意义。与药物化学的其他领域相比,纳米交付的计算科学提供黑盒型解决方案还为时过早,特别是对于BBB案例。然而,即使其巨大的复杂性也可以说明物理原理,因此需要进行计算。需要对描述脑摄取的各种物理化学参数的基本理解来利用它们用于BBB-nano递送的用途。这篇小型评论提供了基本概念的简要介绍,允许将计算模拟应用于BBB-nano递送设计。
关键词: 生物膜,血脑屏障,脑递送,计算,纳米载体,神经药物。
Current Medicinal Chemistry
Title:Essentials and Perspectives of Computational Modelling Assistance for CNS-oriented Nanoparticle-based Drug Delivery Systems
Volume: 25 Issue: 42
关键词: 生物膜,血脑屏障,脑递送,计算,纳米载体,神经药物。
摘要: The blood-brain barrier (BBB) is a complex system controlling two-way substances traffic between circulatory (cardiovascular) system and central nervous system (CNS). It is almost perfectly crafted to regulate brain homeostasis and to permit selective transport of molecules that are essential for brain function. For potential drug candidates, the CNSoriented neuropharmaceuticals as well as for those of primary targets in the periphery, the extent to which a substance in the circulation gains access to the CNS seems crucial. With the advent of nanopharmacology, the problem of the BBB permeability for drug nano-carriers gains new significance. Compared to some other fields of medicinal chemistry, the computational science of nano-delivery is still premature to offer the black-box type solutions, especially for the BBB-case. However, even its enormous complexity can spell out the physical principles, and as such subjected to computation. The basic understanding of various physicochemical parameters describing the brain uptake is required to take advantage of their usage for the BBB-nano delivery. This mini-review provides a sketchy introduction of essential concepts allowing application of computational simulation to the BBB-nano delivery design.
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Cite this article as:
Essentials and Perspectives of Computational Modelling Assistance for CNS-oriented Nanoparticle-based Drug Delivery Systems, Current Medicinal Chemistry 2018; 25 (42) . https://dx.doi.org/10.2174/0929867325666180517095742
DOI https://dx.doi.org/10.2174/0929867325666180517095742 |
Print ISSN 0929-8673 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-533X |
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