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In vivo-in vitro-in silico pharmacokinetic modelling in drug development: current status and future directions.

机译:药物开发中的体内-体外-计算机模拟药物动力学:现状和未来方向。

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摘要

Although clinical drug trials are indispensable in providing an appropriate background for dosage recommendations, they can provide mechanistic pharmacokinetic information only indirectly with the help of certain biomarkers for pathological, physiological and pharmacological determinants. Thus, to provide such mechanistic information of clinical value, various in vitro and in silico tests and approaches are increasingly employed in drug discovery and development. Integration of the results of these primarily preclinical studies has been made possible by various computational models, such as in vitro-in vivo extrapolation of hepatic clearance or physiologically based pharmacokinetic modelling. In this article, the current status of these modelling approaches is surveyed and some examples are given, highlighting advantages and disadvantages in applying them at various phases of drug development. A new paradigm of model-based drug development is briefly described, and the importance of the approach of integrating all of the information coming from different investigations at all levels - be it in vivo, in vitro or in silico - is emphasized.
机译:尽管临床药物试验对于提供合适的剂量推荐背景必不可少,但它们只能在某些病理,生理和药理学决定因素的生物标志物的帮助下间接提供机理药代动力学信息。因此,为了提供这种具有临床价值的机械信息,在药物发现和开发中越来越多地使用各种体外和计算机测试和方法。这些主要临床前研究结果的整合已通过各种计算模型实现,例如肝清除率的体外-体内外推法或基于生理学的药代动力学建模。在本文中,对这些建模方法的现状进行了调查,并给出了一些示例,突出了在药物开发的各个阶段应用它们的优缺点。简要描述了基于模型的药物开发的新范例,并强调了整合来自各个层面(无论是体内,体外还是计算机)的不同研究中的所有信息的方法的重要性。

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