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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

67
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...
67
Environmental Applications of Microorganisms01:30

Environmental Applications of Microorganisms

78
Microorganisms play a pivotal role in maintaining ecosystem balance by recycling essential elements such as carbon, nitrogen, and phosphorus, as well as supporting processes like bioremediation, wastewater treatment, and biofuel production.Microbes in Elemental CyclesIn the carbon cycle, microorganisms decompose organic matter, releasing carbon dioxide via aerobic respiration. This carbon dioxide is subsequently used by photosynthetic organisms to synthesize organic compounds, closing the...
78
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

79
Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
79
Gene-Environment Interactions01:20

Gene-Environment Interactions

376
Gene expression is a dynamic process that is significantly influenced by environmental factors. This interaction underlies the complex nature of biological development and the phenotypic differences observed among individuals, even among those with identical genetic makeups. Factors such as radiation, temperature, behavior, nutrition, and stress play pivotal roles in determining how genes are expressed. The concept of the reaction range is central to understanding this interaction. It posits...
376
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

100
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
100
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

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Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
110

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相关实验视频

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Experimental Protocol for Using Drosophila As an Invertebrate Model System for Toxicity Testing in the Laboratory
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一个数据驱动的框架来建模生物-环境系统.

Lisandro Milocco1, Tobias Uller1

  • 1Department of Biology, Lund University, Lund, Sweden.

Evolution & development
|June 6, 2023
PubMed
概括
此摘要是机器生成的。

有机体和它们的环境有动态的相互作用. 这项研究提出了一个新的建模框架,用于预测生物如何对环境变化做出反应,即使它们随着时间的推移而发展.

关键词:
我们的环境环境环境环境环境环境环境环境这就是Evo-devo的意思.建模 建模模型 建模模型有机体的生物体.塑性的可塑性 塑性

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科学领域:

  • 发育生物学是发展生物学.
  • 生态生态学 生态生态学
  • 系统生物学 系统生物学

背景情况:

  • 生物不断与环境相互作用和改变它们,这是一个复杂的动态,难以建模.
  • 对于像表型可塑性这样的现象,需要准确的模型,从而能够预测生物体对环境信号的反应.
  • 现有的模型往往难以捕捉生物体与环境相互作用的结合性,并与现实世界的数据相配合.

研究的目的:

  • 为结合生物与环境系统引入一个新的建模框架.
  • 为了能够对有机体如何随着时间的推移对环境信号做出反应进行定量预测.
  • 将表型可塑性建模为一个动态的,发育调节的属性.

主要方法:

  • 开发了一个非线性黑盒模型框架,将生物体和环境表示为单一合的动态系统.
  • 利用时间序列输入 (环境信号) 和输出 (系统测量) 数据以适应模型.
  • 用于in silico实验来测试框架对表型可塑性的预测能力.

主要成果:

  • 该框架成功地捕捉了生物体与环境相互作用的动态性质.
  • 该模型可以使用观测数据来安装,并且在没有深入的系统特定知识的情况下应用.
  • 证明了对新型环境信号的生物反应的准确预测 in silico.
  • 表明,表型可塑性可以作为在本体发生过程中的时间变化的动态性质进行建模.

结论:

  • 拟议的框架为研究生物-环境动态和表型可塑性提供了一个强大的工具.
  • 它允许在整个发展过程中对复杂的生物系统进行数据驱动的预测建模.
  • 这种方法提升了我们对环境相互作用如何塑造生物体的发展和随着时间的推移而起作用的理解.