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相关概念视频

Protein Networks02:26

Protein Networks

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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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Protein Kinases and Phosphatases02:54

Protein Kinases and Phosphatases

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Proteins undergo chemical modifications that trigger changes in the charge, structure, and conformation of the proteins. Phosphorylation, acetylation, glycosylation, nitrosylation, ubiquitination, lipidation, methylation, and proteolysis are various protein modifications that regulate protein activity. Such modifications are usually enzyme-driven.
Protein kinases
Many proteins in the cell are regulated by phosphorylation, the addition of a phosphate group. A family of enzymes called kinases...
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Amplifying Signals via Enzymatic Cascade01:22

Amplifying Signals via Enzymatic Cascade

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When a ligand binds to a cell-surface receptor, the receptor's intracellular domain changes shape, which may either activate its enzyme function or allow its binding to other molecules. The initial signal is amplified by most signal transduction pathways. This means that a single ligand molecule can activate multiple molecules of a downstream target. Proteins that relay a signal are most commonly phosphorylated at one or more sites, activating or inactivating the protein. Kinases catalyze...
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相关实验视频

Updated: Jul 23, 2025

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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一种数据驱动的信号网络推断方法,用于蛋白质组学.

Imani Madison1, Fin Amin2, Kuncheng Song3

  • 1Department of Plant and Microbial Biology and NC Plant Sciences Initiative, North Carolina State University, Raleigh, NC, USA.

Methods in molecular biology (Clifton, N.J.)
|July 14, 2023
PubMed
概括

这项研究引入了一个计算管道来分析动态的蛋白质组数据,使得随着时间的推移能够预测蛋白质调节网络. 它通过量化酶和酸酶相互作用来帮助理解细胞信号级联.

关键词:
贝叶斯模型是贝叶斯模型.基纳监管网络 基纳监管网络没有标签的蛋白组合物.后翻译修改后的修改.

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An Optimized Single-Molecule Pull-Down Assay for Quantification of Protein Phosphorylation
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An Optimized Single-Molecule Pull-Down Assay for Quantification of Protein Phosphorylation

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An Optimized Single-Molecule Pull-Down Assay for Quantification of Protein Phosphorylation
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科学领域:

  • 生物化学和分子生物学
  • 系统生物学 系统生物学
  • 计算生物学 计算生物学

背景情况:

  • 细胞对环境变化的反应涉及到快速的翻译后蛋白质修饰.
  • 通过酶和酸酶介导的蛋白质酸化和脱酸化是细胞信号传递的关键调节机制.

研究的目的:

  • 开发和介绍用于随时间统计分析无标签的蛋白质数据的方法.
  • 推断动态的转录后调节网络,专注于酶-酸酶-蛋白相互作用.

主要方法:

  • 使用基于R的方法,使用差异稳定规范化来规范化无标签的蛋白质数据.
  • 采用线性混合模型来分析跨多个时间点和条件的数据.
  • 应用一个离散方案,然后使用动态贝叶斯模型推断调节器-目标相互作用.

主要成果:

  • 开发的管道允许对时间解析的蛋白质组数据集进行可靠的统计分析.
  • 在信号级联中成功推断出动态调节相互作用.
  • 通过动态贝叶斯模型验证了计算预测.

结论:

  • 提出的管道提供了一个全面的方法,用于功能分析和预测基蛋白质信号级联.
  • 有助于更深入地了解动态细胞反应和调节网络.
  • 对于研究细胞信号和后翻译修饰的研究人员来说,这是一个有价值的工具.