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相关概念视频

Protein Networks02:26

Protein Networks

4.1K
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,...
4.1K
Protein-protein Interfaces02:04

Protein-protein Interfaces

13.2K
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 Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

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1.9K
Improving Translational Accuracy02:07

Improving Translational Accuracy

2.7K
2.7K
Protein Complex Assembly02:41

Protein Complex Assembly

10.9K
Proteins can form homomeric complexes with another unit of the same protein or heteromeric complexes with different types.  Most protein complexes self-assemble spontaneously via ordered pathways, while some proteins need assembly factors that guide their proper assembly. Despite the crowded intracellular environment, proteins usually interact with their correct partners and form functional complexes.
Many viruses self-assemble into a fully functional unit using the infected host cell to...
10.9K
Conserved Binding Sites01:49

Conserved Binding Sites

4.4K
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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相关实验视频

Updated: Sep 11, 2025

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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使用图形变换器和对对相似度图表估计蛋白质复杂模型的准确性.

Jian Liu1, Pawan Neupane1, Jianlin Cheng1

  • 1Department of Electrical Engineering and Computer Science, NextGen Precision Health, University of Missouri, Columbia, MO 65211, United States.

Bioinformatics advances
|August 13, 2025
PubMed
概括

我们开发了GATE,这是一种使用图形变压器准确评估蛋白质复杂结构模型质量的新方法. GATE的性能优于现有方法,有助于选择可靠的蛋白质功能分析和药物设计模型.

科学领域:

  • 计算生物学 计算生物学
  • 结构生物学 结构生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 精确估计蛋白质复杂结构对于诸如蛋白质功能分析和药物设计等应用至关重要.
  • 从AlphaFold2和AlphaFold3等方法生成的大池中选择高质量的结构模型仍然是一个重大挑战.

研究的目的:

  • 推出GATE,一种用于预测蛋白质复杂结构模型质量的新方法.
  • 改进下游生物应用的精确结构模型的选择.

主要方法:

  • 盖特利用图形转换器应用于对对模型相似度图.
  • 它整合了单模型和多模型的质量特征,以捕捉内在和几何相似性.
  • 该方法利用图形神经网络进行可靠的质量预测.

主要成果:

  • 在CASP15数据集中,GATE获得了最高的皮尔森相关性 (0.748) 和最低的排名损失 (0.1191).
  • 在CASP16盲人实验中,GATE在多个指标上表现出强的表现,包括在皮尔森相关性 (0.7076) 中排名第一.
  • 该方法在大型内部数据集上表现一致,证实了其稳定性和实际应用性.

结论:

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  • 盖特为评估蛋白质复杂结构模型质量提供了强大而准确的解决方案.
  • 它的性能表明,在选择可靠的结构模型的现实场景中,它的实用性显著.
  • 该方法通过提高模型选择精度,有助于推进结构生物学应用.