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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,...
3.9K
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
Conserved Binding Sites01:49

Conserved Binding Sites

4.2K
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...
4.2K
Protein-Protein Interfaces02:04

Protein-Protein Interfaces

3.8K
3.8K
Protein Organization01:24

Protein Organization

6.4K
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....
6.4K
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

4.8K
Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence...
4.8K

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相关实验视频

Updated: Jun 28, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

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一个蛋白质-蛋白质相互作用网络对齐器在多目标领域的研究.

Manuel Menor-Flores1, Miguel A Vega-Rodríguez1

  • 1Escuela Politécnica, Universidad de Extremadura,(1) Campus Universitario s/n, 10003 Cáceres, Spain.

Computer methods and programs in biomedicine
|April 24, 2024
PubMed
概括

本研究引入了多目标优化,用于比较蛋白质-蛋白质相互作用 (PPI) 网络对齐. 对于高质量的对齐,建议使用SAlign,BEAMS和SANA,在时间限制下可使用更快的选项.

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
  • 系统生物学 系统生物学

背景情况:

  • 蛋白与蛋白相互作用 (PPI) 网络对齐对于疾病诊断和预防至关重要.
  • 由于在平衡拓质量和生物质量方面的挑战,对齐器的性能有所不同.
  • 多目标优化为分析相互冲突的对齐品质提供了一个强大的方法.

研究的目的:

  • 在多目标优化框架内全面研究蛋白质与蛋白质相互作用 (PPI) 网络对齐器.
  • 分析和比较不同PPI网络对齐方法的拓和生物质量.
  • 提供对对齐器性能的见解,考虑质量和运行时间.

主要方法:

  • 使用帕雷托主导方法来比较来自不同PPI网络对齐器的对齐.
  • 生成了帕雷托前线图,以可视化不同场景中的对齐品质.
  • 根据拓学,生物学和联合对齐质量以及平均运行时间等级对齐器.

主要成果:

  • SAlign,BEAMS,SANA和HubAlign产生了最好的整体对齐.
  • 在拓质量方面,SANA,SAlign和HubAlign都表现出色.
  • BEAMS,TAME和WAVE在生物质量方面领先.
关键词:
基因本体学的一致性的一致性多目标优化多目标优化网络对齐 网络对齐蛋白质与蛋白质的相互作用对称的亚结构得分对称的亚结构得分.

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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

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  • 在时间限制下,建议使用SAlign和PISwap进行高质量的对齐.
  • 结论:

    • 建议SANA用于拓质量,BEAMS用于生物质量,SAlign用于组合质量.
    • SANA和BEAMS的运行时间超过了平均水平.
    • 对于时间敏感的应用程序,SAlign和PISwap提供高质量的调整效率.