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相关概念视频

Protein-protein Interfaces02:04

Protein-protein Interfaces

12.5K
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...
12.5K
Protein Networks02:26

Protein Networks

3.9K
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,...
3.9K
Protein-Protein Interfaces02:04

Protein-Protein Interfaces

3.7K
3.7K
Conserved Binding Sites01:49

Conserved Binding Sites

4.2K
Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
4.2K
Protein Organization01:24

Protein Organization

6.2K
Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence....
6.2K

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相关实验视频

Updated: Jun 5, 2025

Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions
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Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions

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使用深度学习检测蛋白质与蛋白质相互作用:一项调查,比较分析和实验评估.

Kamal Taha1

  • 1Department of Computer Science, Khalifa University, Abu Dhabi, United Arab Emirates.

Computers in biology and medicine
|December 7, 2024
PubMed
概括

这项调查分析了深度学习 (DL) 用于蛋白质-蛋白质相互作用 (PPI) 检测. 深度神经网络 (DNN) 显示出高精度但缺乏可解释性,而其他DL模型为PPI识别提供了特定的优势.

科学领域:

  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学
  • 人工智能的人工智能

背景情况:

  • 蛋白与蛋白相互作用 (PPI) 对细胞功能至关重要.
  • 准确识别PPI对于理解生物过程至关重要.
  • 传统的PPI检测方法在可扩展性和准确性方面存在局限性.

研究的目的:

  • 为检测蛋白质与蛋白质相互作用 (PPI) 进行深度学习 (DL) 技术的全面分析.
  • 评估各种DL算法的可扩展性,可解释性,准确性和效率.
  • 在PPI识别中提供DL方法的经验和实验评估.

主要方法:

  • 对用于检测蛋白质与蛋白质相互作用 (PPI) 的深度学习 (DL) 算法的系统审查.
  • 经验评估基于四个关键标准:可扩展性,可解释性,准确性和效率.
  • 对特定算法和更广泛的方法类别进行实验性评估和排名.

主要成果:

  • 深度神经网络 (DNN) 实现了高精度,但遭受过度拟合和低可解释性.
  • 卷积神经网络 (CNN) 擅长从生物序列中提取层次特征.
  • 生成性随机网络 (GSN) 在处理不确定性方面表现出强大,而长期短期记忆 (LSTM) 网络捕获了时间依赖性,但面临着可扩展性问题.

更多相关视频

In-vivo Detection of Protein-protein Interactions on Micro-patterned Surfaces
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In-vivo Detection of Protein-protein Interactions on Micro-patterned Surfaces

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Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells
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Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells

Published on: March 3, 2015

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相关实验视频

Last Updated: Jun 5, 2025

Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions
08:07

Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions

Published on: August 2, 2015

8.0K
In-vivo Detection of Protein-protein Interactions on Micro-patterned Surfaces
07:42

In-vivo Detection of Protein-protein Interactions on Micro-patterned Surfaces

Published on: March 19, 2010

10.7K
Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells
08:38

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells

Published on: March 3, 2015

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结论:

  • 深度学习 (DL) 为推进蛋白质-蛋白质相互作用 (PPI) 识别提供了强大的工具.
  • 不同的DL架构在PPI检测方面具有独特的优缺点.
  • 未来的研究应该专注于优化DL技术,以提高PPI分析的性能,可解释性和可扩展性.