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相关概念视频

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,...
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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 Families02:47

Protein Families

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Protein families are groups of homologous proteins; that is, they have similarities in amino acid sequences and three-dimensional structures. Protein families usually occur because of gene duplication, where an additional copy of a gene is inserted into the genome of an organism.   Mutations that change the amino acids but still allow the protein to be properly synthesized, will lead to new protein family members.   If these new proteins contain similar amino acids in key...
15.3K
Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

10.8K
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...
10.8K
Protein and Protein Structure02:15

Protein and Protein Structure

79.1K
Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
A protein's shape is critical to its function. For example, an enzyme...
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Protein and Protein Structures02:15

Protein and Protein Structures

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

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

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

bioRxiv : the preprint server for biology
|June 4, 2025
PubMed
概括

计算预测蛋白质功能对于疾病研究至关重要. 我们的新型ProtFun模型,使用深度学习和蛋白质嵌入,准确地预测蛋白质功能,优于现有方法.

关键词:
图表注意力网络的图表图形神经网络的神经网络大型语言模型蛋白质家族网络 蛋白质家族网络蛋白质功能的预测和预测

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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
  • 基因组学就是基因组学.

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:

  • 开发一种先进的计算方法,用于自动预测蛋白质功能.
  • 介绍ProtFun,一个多模态深度学习架构,用于增强蛋白质功能预测.

主要方法:

  • 综合蛋白质大语言模型 (LLM) 嵌入到蛋白质家族网络中.
  • 使用图表注意力网络 (GAT) 来学习蛋白质嵌入.
  • 结合LLM嵌入与InterPro签名用于函数预测模型培训.

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.
  • 该模型在预测蛋白质功能方面取得了很高的准确性.

结论:

  • ProtFun为蛋白质功能预测提供了一种强大而高效的方法.
  • 开发的方法有助于了解疾病机制和确定治疗点.
  • 开源数据和代码有助于进一步的研究和应用.