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首页> 外文期刊>Chemotherapy: International Journal of Experimental and Clinical Chemotherapy >Applications of a blood-brain barrier technology platform to predict CNS penetration of various chemotherapeutic agents. 1. Anti-infective drugs.
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Applications of a blood-brain barrier technology platform to predict CNS penetration of various chemotherapeutic agents. 1. Anti-infective drugs.

机译:血脑屏障技术平台在预测各种化学治疗剂中枢神经系统渗透方面的应用。 1.抗感染药。

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摘要

Except for a few well-documented CNS therapeutics, quantitative data on blood-brain barrier (BBB) permeation is incomplete, unreliable or nonexistent and this is a major impediment in BBB modeling. Furthermore, only the passive diffusion component is generally taken into account. Three techniques of modeling (in vivo, in vitro and in silico) were set up and compared. The in silico predicted permeation of 287 anti-infective drugs has been faced to clinical observations. Good correlations were observed between in vitro permeability coefficients, influx transfer coefficients from in vivo studies and Pe scores from the computational model. High Pe score values are associated with an increase of reported CNS side effects.
机译:除了少数有据可查的中枢神经系统疗法外,有关血脑屏障(BBB)渗透的定量数据还不完整,不可靠或不存在,这是BBB建模的主要障碍。此外,通常仅考虑无源扩散分量。建立并比较了三种建模技术(体内,体外和计算机模拟)。在计算机上预测的287种抗感染药的渗透已面临临床观察。在体外渗透系数,体内研究的流入转移系数和计算模型的Pe分数之间观察到良好的相关性。高Pe评分值与所报告的CNS副作用增加有关。

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