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相关概念视频

Protein Networks02:26

Protein Networks

4.5K
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 Networks02:26

Protein Networks

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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-Protein Interfaces02:04

Protein-Protein Interfaces

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Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

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Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...
14.0K
Conserved Binding Sites01:49

Conserved Binding Sites

5.0K
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...
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Updated: Jan 9, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
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A Protocol for Computer-Based Protein Structure and Function Prediction

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一个可扩展的等价图形网络框架,用于精确的蛋白质功能预测.

Zixu Ran1, Xudong Guo1,2, Tong Pan2,3

  • 1College of Information Engineering, Northwest A&F University, Yangling, 712100, China.

Genome biology
|November 29, 2025
PubMed
概括
此摘要是机器生成的。

我们开发了ENGINE,这是一种用于蛋白质功能预测的深度学习框架. 它使用3D结构和序列数据准确预测蛋白质功能,提供生物学见解.

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相关实验视频

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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling
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科学领域:

  • 计算生物学是一种计算生物学.
  • 结构生物信息学 结构生物信息学
  • 在生命科学领域的机器学习.

背景情况:

  • 了解复杂的细胞过程依赖于蛋白质功能研究.
  • 蛋白质序列数据的快速增长需要有效的计算方法进行注释.
  • 蛋白质结构和功能复杂性对准确的预测构成挑战.

研究的目的:

  • 推出ENGINE,一种用于蛋白质功能预测的新型多道深度学习框架.
  • 为了提高计算蛋白质注释的准确性和稳定性.
  • 为蛋白质功能预测提供生物解释性.

主要方法:

  • 使用等价图卷积网络来检测蛋白质3D结构的几何特征.
  • 采用ESM-C大型语言模型用于进化和序列信息.
  • 整合一个创新的3D序列表示,结合空间和序列信号.

主要成果:

  • 在各种蛋白质功能预测基准中,ENGINE的性能优于最先进的方法.
  • 该框架表现出强大的概括性和高预测准确性.
  • 引擎提供了对关键序列特征和结构动机的可解释的见解,识别了功能重要残留物.

结论:

  • ENGINE通过可靠,可解释的预测,增强了对细胞过程和疾病机制的研究.
  • 该模型有助于更深入地理解蛋白质功能的机制.
  • ENGINE是公开的,作为科学界的一个工具.