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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,...
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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 Folding Quality Check in the RER01:29

Protein Folding Quality Check in the RER

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ER is the primary site for the maturation and folding of soluble and transmembrane secretory proteins. The calnexin cycle is a specific chaperone system that folds and assesses the confirmation of N-glycosylated proteins before they can exit the ER lumen. The primary players of this quality check pipeline are the lectins, ER-resident chaperones, and a glucosyl transferase enzyme. In case the calnexin system in the lumen fails to salvage a misfolded protein, it is transported to the cytoplasm...
3.7K
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 and Protein Structure02:15

Protein and Protein Structure

79.6K
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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Physiological Pharmacokinetic Models: Assumption with Protein Binding01:13

Physiological Pharmacokinetic Models: Assumption with Protein Binding

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Physiological models with protein binding in pharmacokinetics offer a sophisticated approach to understanding drug disposition. These models consider drug-protein interactions, enabling them to effectively predict drug concentrations in different organs and tissues. This precision aids in accurate drug dosing, providing a significant advantage over conventional models. A key process within these models is equilibration, which ensures that drug concentrations achieve a steady state within the...
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相关实验视频

Updated: Jul 9, 2025

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

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基于使用蛋白质语言模型的深度图形合网络来评估蛋白质模型质量.

Dong Liu1, Biao Zhang1, Jun Liu1

  • 1College of Information Engineering, Zhejiang University of Technology.

Briefings in bioinformatics
|November 29, 2023
PubMed
概括

图形CPLMQA是一种新的蛋白质模型质量评估工具,使用图形网络和蛋白质语言模型准确评估残留水平的准确性. 它擅长区分高质量的蛋白质结构,特别是多元蛋白质,在基准测试中表现优于现有方法.

关键词:
图表神经网络的神经网络多元模型评估的多元模型评估.蛋白质语言模型蛋白质模型评价评估

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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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相关实验视频

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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:

  • 准确的蛋白质模型质量评估是关键的,但具有挑战性,特别是对于复杂的多分子结构.
  • 区分高质量的模型和确定需要改进的区域仍然是结构生物学中的一个重大障碍.

研究的目的:

  • 开发一种新的方法,GraphCPLMQA,用于准确的残留水平蛋白质模型质量评估.
  • 为了提高多元蛋白质模型的评估,结构预测是当前的一个热门话题.

主要方法:

  • 图形CPLMQA集成图形合网络与蛋白质语言模型嵌入.
  • 它采用使用进化规模建模的图形编码模块和卷积解码模块.
  • 像三角位置和残留接触顺序这样的新特性增强了结构质量关联.

主要成果:

  • 图形CPLMQA在CASP15多重局部残留界面测试集上取得了最高性能,超过了现有方法.
  • 它在CAMEO对质量估计服务器的盲测试 (2022年5月至8月) 中排名第一.
  • 该方法还超过了CASP13和CASP14单体数据集的最新方法.

结论:

  • 图形CPLMQA提供了一种可靠和准确的方法,用于残留水平蛋白质模型质量评估.
  • 该方法显示了显著的改进,特别是对于具有挑战性的多层结构.
  • 图表CPLMQA代表了蛋白质结构质量评估工具的重大进步.