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Updated: May 23, 2025

High-Throughput Metabolic Profiling for Model Refinements of Microalgae
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生物模型工具:从生物质组成数据到基因组规模代谢模型的结构化生物质目标功能

Clémence Dupont Thibert1,2, Sylvaine Roy1, Gilles Curien1

  • 1Laboratoire de Physiologie Cellulaire et Végétale, Interdisciplinary Research Institute of Grenoble, Université Grenoble Alpes, Grenoble 38000, France.

Bioinformatics advances
|March 11, 2025
PubMed
概括

生物模型工具简化了对基因组规模代谢模型的生物质目标函数的创建. 这个Python程序帮助研究人员使用用户提供的生物质数据重建和分析代谢模型.

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相关概念视频

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

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

Mechanistic Models: Compartment Models in Individual and Population Analysis

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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