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相关概念视频

Protein Networks02:26

Protein Networks

4.0K
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,...
4.0K
Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

10.9K
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...
10.9K
Protein Organization01:24

Protein Organization

6.5K
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....
6.5K
Protein Families02:47

Protein Families

15.4K
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...
15.4K
Protein and Protein Structure02:15

Protein and Protein Structure

79.7K
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...
79.7K
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

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相关实验视频

Updated: Jul 13, 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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结构2GO:基于图形聚合算法和AlphaFold2结构信息的蛋白质功能预测.

Peishun Jiao1, Beibei Wang1, Xuan Wang1,2

  • 1School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, Guang Dong 518055, China.

Bioinformatics (Oxford, England)
|October 17, 2023
PubMed
概括
此摘要是机器生成的。

通过整合蛋白质结构和序列数据,Struct2GO提高了蛋白质功能预测,提高了新型蛋白质的准确性. 这种深度学习模型的性能优于传统的基于序列的方法.

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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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相关实验视频

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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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科学领域:

  • 计算生物学是一种计算生物学.
  • 生物信息学是一种生物信息学.
  • 在基因组学中的机器学习.

背景情况:

  • 用于蛋白质功能预测的深度学习模型通常依赖于序列数据和蛋白质-蛋白质相互作用网络.
  • 这些模型与缺乏相互作用数据的新测序蛋白质进行斗争.
  • 最近在蛋白质结构预测方面的进展,如AlphaFold2,提供了精确的原子级结构信息.

研究的目的:

  • 开发一种新的深度学习模型,Struct2GO,用于增强蛋白质功能预测.
  • 提高蛋白质功能预测的精度和普遍性,特别是对于不在相互作用网络中存在的蛋白质.
  • 为了利用蛋白质结构和序列数据进行更强大的预测.

主要方法:

  • 利用图形表示学习从蛋白质结构中获得氨基酸残留嵌入.
  • 采用基于自我注意的图表聚合算法来捕捉全球结构特征.
  • 融合了结构特征与从蛋白质语言模型中获得的序列特征.

主要成果:

  • 与传统的基于蛋白质序列的功能预测模型相比,Struct2GO模型显示出更高的性能.
  • 整合结构信息显著提高了预测准确性.
  • 该模型显示,对具有有限或不存在相互作用数据的蛋白质具有增强的泛性.

结论:

  • 结合蛋白质结构和序列数据,为准确的蛋白质功能预测提供了强大的方法.
  • Struct2GO为预测新型蛋白质的功能提供了更具概括性的解决方案.
  • 这项研究强调了将结构生物信息学与深度学习相结合的潜力,以推动生物发现.