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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,...
4.5K
Protein Networks02:26

Protein Networks

2.8K
2.8K
Protein-protein Interfaces02:04

Protein-protein Interfaces

14.4K
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...
14.4K
Protein-Protein Interfaces02:04

Protein-Protein Interfaces

4.4K
4.4K
Ligand Binding Sites02:40

Ligand Binding Sites

14.9K
Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
14.9K
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...
5.0K

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相关实验视频

Updated: Jan 12, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
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ProtFun:使用图形注意力网络的蛋白质功能预测模型与蛋白质大语言模型.

Muhammed Talo1,2,3, Serdar Bozdag1,2,3,4

  • 1Department of Computer Science and Engineering, University of North Texas, Denton, TX 76207, United States.

Bioinformatics advances
|October 31, 2025
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概括
此摘要是机器生成的。

我们开发了ProtFun,这是一种用于自动预测蛋白质功能的新型深度学习方法. 这种方法整合了来自大型语言模型和图形注意力网络的蛋白质嵌入,优于现有的识别蛋白质功能和帮助疾病研究的方法.

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科学领域:

  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.
  • 机器学习 机器学习

背景情况:

  • 实验性蛋白质功能的确定是昂贵和耗时的.
  • 高通量技术产生了大量的蛋白质序列数据.
  • 准确的蛋白质功能预测对于疾病研究和药物发现至关重要.

研究的目的:

  • 开发一种用于预测蛋白质功能的自动计算方法.
  • 利用多模式深度学习来提高蛋白质功能预测的准确性.

主要方法:

  • 提出了ProtFun,一个多式联网深度学习架构.
  • 集成蛋白质大型语言模型嵌入和InterPro签名.
  • 在蛋白质家族网络上利用图表注意力网络.

主要成果:

  • 与基准数据集上最先进的方法相比,ProtFun表现出更高的性能.
  • 一项废除研究证实了ProtFun架构中的单个组件的意义.
  • 该模型使用集成的序列和网络信息有效预测蛋白质功能.

结论:

  • ProtFun提供了一种强大而高效的计算方法来预测蛋白质功能.
  • 这种方法可以加快疾病机制和治疗点的识别.
  • 开发的模型和数据是公开可用于研究的.