所选促神经药物脑渗透特性的计算机和体外评估

Ahmed Alsarrani, P. Kaplita
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引用次数: 4

摘要

目的:预测(计算机)数据表明益智补充剂可能穿透血脑屏障(BBB)。我们在体外评估了益智药进入大脑的能力,基于高通量筛选(HTS)测量与P-gp外排转运体的相互作用和物理化学性质,并将这些数据与计算机预测相关联。方法与结果:软件预测吡拉西坦、二十二碳六烯酸(DHA)、金刚烷胺和硫黄素- t最能穿透血脑屏障。这些化合物的亲脂性可以通过测定临界胶束浓度(CMC)来预测。DHA和维拉帕米表现出高亲脂性。DHA、维拉帕米和磷脂酰丝氨酸(PS)可能是P-gp转运体的良好底物。结论:高通量筛选-导联优化检测技术可成功预测益智药的通透性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In silico and in vitro evaluation of brain penetration properties of selected nootropic agents
Aim: Predictive ( in silico) data suggested that nootropic supplements may penetrate the blood–brain barrier (BBB). We evaluated, in vitro, the ability of nootropics to enter the brain based on the high throughput screening (HTS) measurement of interactions with the P-gp efflux transporter and physicochemical properties and correlated these data with the in silico predictions. Methods & results: The software predicted that piracetam, docosahexaenoic acid (DHA), amantadine and thioflavin-T can best penetrate the BBB. The lipophilicity of these compounds may be predicted by measuring the critical micelle concentration (CMC). DHA and verapamil demonstrated high lipophilicity. DHA, verapamil and phosphatidylserine (PS) may be good substrates of the P-gp transporter. Conclusion: Permeability of nootropics may be successfully predicted by high throughput screening-lead optimization assay technologies.
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