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相关概念视频

What is Metabolism?00:52

What is Metabolism?

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Overview
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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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Overview of Metabolism01:40

Overview of Metabolism

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Living cells constantly carry out various chemical reactions which are necessary for their proper functioning. These reactions are interlinked to one another via multiple pathways. The collection of these chemical reactions is known as metabolism.
Plant Metabolism
Sunlight, the primary source of energy in plants, is first absorbed by the chlorophyll pigments present in their leaves. Plants then use this energy to carry out photosynthesis, where water is oxidized into oxygen and carbon dioxide...
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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

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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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Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

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An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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Sugars as Energy Storage Molecules01:10

Sugars as Energy Storage Molecules

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Sugar (a simple carbohydrate) metabolism (chemical reactions) is a classic example of the many cellular processes that use and produce energy. Living things consume sugar as a major energy source because sugar molecules have considerable energy stored within their bonds. Consumed carbohydrates have their origins in photosynthesizing organisms like plants. During photosynthesis, plants use the energy of sunlight to convert carbon dioxide gas into sugar molecules, like glucose. Because this...
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相关实验视频

Updated: May 23, 2025

High-Throughput Metabolic Profiling for Model Refinements of Microalgae
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High-Throughput Metabolic Profiling for Model Refinements of Microalgae

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用于理解和工程代谢的建模.

Jens Nielsen1,2,3,4, Dina Petranovic2,3

  • 1BioInnovation Institute, Copenhagen, Denmark.

QRB discovery
|March 12, 2025
PubMed
概括

代谢工程使用数学建模来研究和设计细胞代谢,用于生物技术,医疗保健和基础研究中的应用. 这种方法提供了新的见解,并使创建新的代谢功能.

关键词:
代谢工程是代谢工程.合成生物学 合成生物学系统生物学 系统生物学

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Modeling an Enzyme Active Site using Molecular Visualization Freeware
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Last Updated: May 23, 2025

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科学领域:

  • 生物技术和系统生物学 系统生物学
  • 代谢工程是代谢工程.
  • 细胞的新陈代谢

背景情况:

  • 代谢对于细胞功能至关重要,为巨分子提供能量和构建块.
  • 作为整个网络来研究新陈代谢是具有挑战性的,传统方法专注于单个途径或组件.
  • 代谢工程提供了一种强大的方法来分析和操纵代谢网络.

研究的目的:

  • 介绍代谢工程的历史,原则和最近的进展.
  • 突出代谢工程在生物技术和医疗保健中的应用.
  • 探索代谢工程和人工智能 (AI) 之间的协同作用.

主要方法:

  • 应用工程原理和数学建模来研究新陈代谢.
  • 在细胞内设计和构建新的代谢特征.
  • 对当前的文献和代谢工程中的案例研究进行了审查.

主要成果:

  • 代谢工程提供了对细胞过程的基本见解.
  • 成功的应用包括制药,化学品的生产,以及对新陈代谢的更好理解.
  • 代谢工程通过各种应用影响医疗保健.

结论:

  • 代谢工程是一个具有广泛应用的变革领域.
  • 人工智能的整合有望进一步提升代谢工程能力.
  • 这一领域对未来的科学和工业创新有着巨大的潜力.