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相关概念视频

Protein-protein Interfaces02:04

Protein-protein Interfaces

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Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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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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MAPK Signaling Cascades01:07

MAPK Signaling Cascades

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Mitogen-activated protein kinase, or MAPK pathway, activates three sequential kinases to regulate cellular responses such as proliferation, differentiation, survival, and apoptosis. The canonical MAPK pathway starts with a mitogen or growth factor binding to an RTK. The activated RTKs stimulate Ras, which recruits Raf or MAP3 Kinase (MAPKKK), the first kinase of the MAPK signaling cascade. Raf further phosphorylates and activates MEK or MAP2 Kinases (MAPKK), which in turn phosphorylates MAP...
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Protein Kinases and Phosphatases02:54

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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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Most chemical reactions in cells require enzymes—biological catalysts that speed up the reaction without being consumed or permanently changed. They reduce the activation energy needed to convert the reactants into products. Enzymes are proteins, that usually work by binding to a substrate—a reactant molecule that they act upon.
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使用可解释的机器学习来发现酶-基质相互作用景观.

Zhongliang Zhou1, Wayland Yeung2, Saber Soleymani1

  • 1School of Computing, University of Georgia, Athens, GA 30602, United States.

Bioinformatics (Oxford, England)
|January 20, 2024
PubMed
概括

我们开发了一个可解释的AI模型来预测酶-基质关系,提高酸化研究的准确性和可解释性. 这个工具通过分析酶特异性来帮助理解细胞信号传递.

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科学领域:

  • 生物信息学是一种生物信息学.
  • 细胞信号传输 细胞信号传输
  • 蛋白质组学是指蛋白质组学

背景情况:

  • 酸化是一种关键的翻译后修饰,调节细胞过程.
  • 预测酶-基质关系对于理解细胞信号来说至关重要.
  • 对于激酶基质预测的现有深度学习模型缺乏解释性,并以偏见的数据集进行训练.

研究的目的:

  • 开发一种可解释的变压器模型,用于预测酶-相互作用.
  • 为了利用类图书馆数据集对大量的氨酸/氨酸激酶进行训练.
  • 通过可解释的人工智能方法,提供对模型决策过程的见解.

主要方法:

  • 开发了一种可解释的变压器模型,仅在初级序列上进行训练.
  • 利用多任务学习进行广泛的酶-相互作用预测.
  • 采用夏普利添加剂扩张 (SHAP) 进行残留水平分析.

主要成果:

  • 在激酶-相互作用预测方面取得了最先进的性能.
  • 启用了未包括在训练数据集中的激酶的预测.
  • 确定了关键的特异性决定残留物,并揭示了模型的基质预测策略.

结论:

  • 开发的模型提供了一个高度准确和可解释的方法来预测酶-基质关联.
  • 该模型能够将其推广到未见的激酶,并提供机械学的洞察力,从而推动了细胞信号传递领域的发展.
  • 为更广泛的可访问性和应用提供了一个Web界面和资源.