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相关概念视频

Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

10.8K
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...
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Protein-protein Interfaces02:04

Protein-protein Interfaces

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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 Networks02:26

Protein Networks

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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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Conservation of Protein Domains02:26

Conservation of Protein Domains

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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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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...
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Updated: Jun 25, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction
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AggreProt:一个用于预测和工程蛋白质中的聚合易感区域的Web服务器.

Joan Planas-Iglesias1,2, Simeon Borko1,2, Jan Swiatkowski3

  • 1Loschmidt Laboratories, Department of Experimental Biology and RECETOX, Faculty of Science, Masaryk University, Brno, Czech Republic.

Nucleic acids research
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概括

AggreProt是一个新的网络服务器,它使用深度神经网络来预测蛋白质序列中容易聚合的区域. 这种工具有助于提高蛋白质溶解度,并减少聚合,以获得更好的基于蛋白质的技术.

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Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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科学领域:

  • 生物化学和结构生物学.
  • 计算生物学和生物信息学
  • 蛋白质工程和生物技术

背景情况:

  • 再组合蛋白对于工业生物催化剂和治疗药物至关重要.
  • 设计具有高溶解度和低聚合倾向的蛋白质仍然是一个重大挑战.
  • 识别容易聚合的区域 (APR) 对于理解蛋白质错折和开发基于蛋白质的技术至关重要.

研究的目的:

  • 介绍AggreProt,一个用户友好的网络服务器,用于使用深度神经网络预测蛋白质序列中的APR.
  • 提供一种帮助蛋白质工程的工具,以提高溶解度和减少聚合.
  • 为研究和技术应用提供对蛋白质聚合行为的见解.

主要方法:

  • 开发一个Web服务器,AggreProt,利用一组深度神经网络.
  • 在实验验证的六上训练模型.
  • 评估AggreProt在两个独立的基准数据集上的表现,与最先进的算法对比.

主要成果:

  • 在预测年均利率方面,AggreProt表现出与现有算法相比或优于现有算法的性能.
  • 网络服务器提供每残留的聚合资料,溶剂可访问性和跨膜倾向性.
  • 交互式序列和结构观看器在直观的界面中促进了全面的分析.

结论:

  • AggreProt有效地预测了蛋白质中的差异聚合行为.
  • 该工具有可能指导蛋白质工程策略,以提高溶解度和减少聚合.
  • AggreProt是免费访问的,支持基于蛋白质的技术的进步和对错误折叠疾病的理解.