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APPLICATION OF THE SOBOL' GLOBAL SENSITIVITY ANALYSIS METHOD TO A DYNAMIC MODEL OF MAB-PRODUCING MAMMALIAN CELL CULTURES

机译:SOBOL全局敏感性分析方法在单克隆抗体产哺乳动物细胞培养动力学模型中的应用

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Global sensitivity analysis (GSA) is able to quantify the importance of model parameters and their interactions with respect to model output. In this study, the Sobol' method for GSA is applied to a dynamic model of monoclonal antibody-producing mammalian cell cultures in order to identify the parameters that need to be accurately determined experimentally. The results show that most parameters have low sensitivity indices and exhibit strong interactions with one another. These parameters can be set at their nominal values and unnecessary experimentation can therefore be avoided. However, certain parameters have been identified as sensitive at specific times during culture time and could be estimated given sufficiently rich experimental data. In this regard, GSA can serve as an excellent precursor to optimal experiment design in that important parameters are identified, as well as their corresponding optimal culture times for sampling.
机译:全局敏感性分析(GSA)能够量化模型参数及其相对于模型输出的相互作用的重要性。在这项研究中,将GSA的Sobol'方法应用于产生单克隆抗体的哺乳动物细胞培养物的动态模型,以鉴定需要通过实验准确确定的参数。结果表明,大多数参数的灵敏度指数均较低,并且相互之间表现出较强的相互作用。这些参数可以设置为其标称值,因此可以避免不必要的实验。但是,某些参数已在培养期间的特定时间被确定为敏感参数,并且可以根据足够丰富的实验数据进行估算。在这方面,GSA可以作为最佳实验设计的出色先驱,因为可以识别出重要的参数以及相应的最佳采样培养时间。

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