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相关概念视频

Protein-protein Interfaces02:04

Protein-protein Interfaces

12.6K
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...
12.6K
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,...
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Protein-Protein Interfaces02:04

Protein-Protein Interfaces

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Conserved Binding Sites01:49

Conserved Binding Sites

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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: Jul 23, 2025

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions
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机器学习方法用于病毒-宿主蛋白-蛋白相互作用预测.

Betül Asiye Karpuzcu1, Erdem Türk1,2, Ahmad Hassan Ibrahim1

  • 1Bioinformatics Graduate Program, Graduate School of Natural and Applied Sciences, Muğla Sıtkı Koçman University, Muğla, Turkey.

Methods in molecular biology (Clifton, N.J.)
|July 14, 2023
PubMed
概括

由于实验技术的局限性,计算方法,特别是机器学习,对于预测病毒-宿主蛋白-蛋白相互作用 (PPI) 是至关重要的. 开发先进的预测工具仍然是一个活跃的研究领域.

关键词:
集合方法 集合方法在 silico 预测预测.机器学习算法 机器学习算法病毒感染 病毒感染病毒生物信息学病毒宿主蛋白蛋白相互作用

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Identification of Protein Interaction Partners in Mammalian Cells Using SILAC-immunoprecipitation Quantitative Proteomics
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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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Identification of Protein Interaction Partners in Mammalian Cells Using SILAC-immunoprecipitation Quantitative Proteomics
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科学领域:

  • 病毒学 病毒学
  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学

背景情况:

  • 病毒-宿主蛋白-蛋白相互作用 (PPI) 对病毒病原性和感染性至关重要.
  • 研究病毒宿主PPI的实验方法是劳动密集且昂贵的.
  • 计算方法越来越多地用于分析和预测病毒宿主PPI.

研究的目的:

  • 概述开发病毒主机PPI预测工具的方法.
  • 讨论挑战并评估现有的基于机器学习的预测工具.
  • 探索组合技术的应用,以改善PPI预测.

主要方法:

  • 开发一种系统的方法来创建病毒主机PPI预测工具.
  • 对当前用于病毒宿主PPI预测的机器学习模型的评估.
  • 集体方法的应用,将来自单个工具的预测结合起来.

主要成果:

  • 确定开发病毒宿主PPI预测工具的关键步骤.
  • 评估现有的机器学习方法的优缺点.
  • 展示集体技术在提高预测准确度方面的潜力.

结论:

  • 对于新型的个人和集体病毒宿主PPI预测工具的持续需求.
  • 通过合并方法利用现有工具显示出提高预测能力的前景.
  • 计算方法对于提高我们对病毒与宿主相互作用的理解至关重要.