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相关概念视频

Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
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相关实验视频

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High-Throughput Metabolic Profiling for Model Refinements of Microalgae
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在实践中使PBPK模型更容易复制.

Elena Domínguez-Romero1,2, Stanislav Mazurenko3,4, Martin Scheringer2

  • 1Department of Bioinformatics-BiGCaT, School of Nutrition and Translational Research in Metabolism, Faculty of Health, Medicine and Life Sciences, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.

Briefings in bioinformatics
|November 4, 2024
PubMed
概括

可重现的生理学基础药理动力学 (PBPK) 模型对于系统生物学至关重要. 本研究提出了报告建议和协调的缩写,以提高PBPK模型的可复制性和互操作性.

关键词:
在 MATLAB 中,我们可以使用 MATLAB.这是SBML的SBML.模型代码 模型代码药物动力学 药物动力学可复制性的可复制性系统生物学 系统生物学

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科学领域:

  • 系统生物学 系统生物学
  • 计算建模计算建模
  • 药理动力学 药理动力学

背景情况:

  • 系统生物学依赖于数学建模来理解生物系统.
  • 计算模型的可重现性是该领域的一个重大挑战.
  • 基于生理学的药理动力学 (PBPK) 模型对于评估化学物质暴露效应至关重要.

研究的目的:

  • 解决PBPK模型中可重现性的挑战.
  • 在开发和实施期间为PBPK模型报告提出建议.
  • 为了协调PBPK建模中使用的缩写.

主要方法:

  • 总结PBPK模型报告准则.
  • 建议为PBPK模型提供标准化缩写系统.
  • 在MATLAB中开发和呈现可复制的PBPK模型代码.

主要成果:

  • 在 MATLAB 中提供了一个原始的,可重现的 PBPK 模型代码.
  • 展示了一个使用MOCCASIN将MATLAB PBPK代码转换为系统生物学标记语言 (SBML) 的例子.
  • 提出了关于PBPK模型报告和缩写协调的建议.

结论:

  • 遵守报告准则和标准化缩写,提高了PBPK模型的可复制性和可理解性.
  • 为了更好的互操作性,需要增加用于跨平台模型转换的工具开发.
  • 跨学科的合作对于推进系统生物学中的良好建模实践至关重要.