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Operon Model01:23

Operon Model

125
The operon model represents a fundamental mechanism of gene regulation in prokaryotes, enabling coordinated expression of genes involved in related metabolic or functional pathways. Operons consist of structural genes, a promoter, and an operator, with transcription regulated by repressors, activators, and small effector molecules.Structure and Function of OperonsAn operon is a cluster of structural genes transcribed together under the control of a single promoter. The promoter region...
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Regulation of Metabolism01:19

Regulation of Metabolism

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Cellular needs and conditions vary from cell to cell and change within individual cells over time. For example, the required enzymes and energetic demands of stomach cells are different from those of fat storage cells, skin cells, blood cells, and nerve cells. Furthermore, a digestive cell works much harder to process and break down nutrients during the time that closely follows a meal compared with many hours after a meal. As these cellular demands and conditions vary, so do the amounts and...
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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

103
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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Allosteric Regulation01:08

Allosteric Regulation

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Allosteric regulation of enzymes occurs when the binding of an effector molecule to a site that is different from the active site causes a change in the enzymatic activity. This alternate site is called an allosteric site, and an enzyme can contain more than one of these sites. Allosteric regulation can either be positive or negative, resulting in an increase or decrease in enzyme activity. Most enzymes that display allosteric regulation are metabolic enzymes involved in the degradation or...
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In-vitro Mutagenesis01:16

In-vitro Mutagenesis

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To learn more about the function of a gene, researchers can observe what happens when the gene is inactivated or “knocked out,” by creating genetically engineered knockout animals. Knockout mice have been particularly useful as models for human diseases such as cancer, Parkinson’s disease, and diabetes.
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相关实验视频

Updated: Sep 18, 2025

Generation of Marked and Markerless Mutants in Model Cyanobacterial Species
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Generation of Marked and Markerless Mutants in Model Cyanobacterial Species

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印度储备银行:用于设计最佳突变菌株的监管代谢网络模型的新算法.

Ridho Ananda1,2, Kauthar Mohd Daud1, Suhaila Zainudin1

  • 1Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia, Kajang, Selangor, Malaysia.

PeerJ. Computer science
|June 27, 2025
PubMed
概括

研究人员开发了一种新的基于可靠性的整合 (RBI) 算法,通过结合基因调节网络 (GRN) 布尔规则来改进代谢工程. 这提高了最佳突变微生物菌株的设计,以提高代谢物产量.

关键词:
流量平衡分析分析流量平衡分析基因监管网络是基因监管网络.在的代谢工程中,代谢工程.代谢网络是一种代谢网络.这是一种突变菌株.可靠性理论可靠性理论

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Last Updated: Sep 18, 2025

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科学领域:

  • 系统生物学 系统生物学
  • 代谢工程是代谢工程.
  • 计算生物学 计算生物学

背景情况:

  • 整合基因调节网络 (GRNs) 和代谢网络对于in silico代谢工程至关重要.
  • 现有的模型往往无法将GRNs和基因-蛋白质反应 (GPR) 相互作用的布尔规则纳入,忽视了激活和抑制等基因相互作用类型.
  • 这种限制可能导致代谢物生产增强的非最佳结果.

研究的目的:

  • 通过使用可靠性理论呈现一种新型模型,该模型整合了经验GRNs和GPR相互作用的布尔规则.
  • 引入基于可靠性的整合 (RBI) 算法及其变体 (RBI-T1,RBI-T2,RBI-T3).
  • 与现有方法相比,评估RBI算法的性能和效率.

主要方法:

  • 开发基于可靠性的整合 (RBI) 算法,结合布尔规则.
  • 使用实证数据和转录因子 (TF) 淘汰方案验证RBI算法.
  • 对RBI算法的比较分析与性能和计算复杂性的现有方法.
  • 实施RBI方法设计最佳突变菌株的*大肠杆菌*和*麦芽菌.

主要成果:

  • 印度储备银行算法表现出强大的有效性和效率,与现有算法具有竞争力.
  • 印度储备银行 (RBI) 的方法成功确定了八个方案,以提高糖酸盐和乙醇生产率,同时保持微生物菌株的生存能力.
  • 模拟结果证实了RBI方法在整合GRN和代谢网络信息方面的优势.

结论:

  • 拟议的RBI算法对于in silico代谢工程是有效和高效的.
  • 印度央行算法准确地结合了布尔规则和GPR相互作用,克服了以前模型的局限性.
  • 建议使用RBI方法来构建最佳突变菌株,以改善微生物系统中的代谢物产量.