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相关概念视频

Protein Folding01:25

Protein Folding

8.0K
Proteins are chains of amino acids linked together by peptide bonds. Upon synthesis, a protein folds into a three-dimensional conformation, critical to its biological function. Interactions between its constituent amino acids guide protein folding, and hence the protein structure is primarily dependent on its amino acid sequence.
Protein Structure Is Critical to Its Biological Function
Proteins perform a wide range of biological functions such as catalyzing chemical reactions, providing...
8.0K
Molecular Chaperones and Protein Folding03:00

Molecular Chaperones and Protein Folding

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The native conformation of a protein is formed by interactions between the side chains of its constituent amino acids. When the amino acids cannot form these interactions, the protein cannot fold by itself and needs chaperones. Notably, chaperones do not relay any additional information required for the folding of polypeptides; the native conformation of a protein is determined solely by its amino acid sequence. Chaperones catalyze protein folding without being a part of the folded protein.
The...
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Protein Organization01:13

Protein Organization

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Overview
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Proteins: From Genes to Degradation02:11

Proteins: From Genes to Degradation

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Within a biological system, the DNA encodes the RNA, and the nucleotide sequence in the RNA further defines the amino acid sequence in the protein. This is referred to as “The Central Dogma of Molecular Biology” - a term coined by Francis Crick.  Central dogma is a firm principle in biology that defines the flow of genetic information within any life form. The two fundamental steps in central dogma are - transcription and translation.
Transcription is the synthesis of RNA...
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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 and Protein Structure02:15

Protein and Protein Structure

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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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相关实验视频

Updated: Jun 30, 2025

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
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Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

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通过对蛋白质折叠的改变来理解大规模测序数据集.

David Shorthouse1, Harris Lister2, Gemma S Freeman2

  • 1School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK.

Briefings in functional genomics
|March 24, 2024
PubMed
概括

基因变异的预测建模对于了解疾病机制至关重要. 专注于蛋白质错折的计算方法有助于解释不确定的临床应用意义的变异.

关键词:
这是DDG DDG折叠 折叠 折叠 折叠基因组学就是基因组学.突变是一种突变.结构 结构 结构 结构

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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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Microfluidic Mixers for Studying Protein Folding

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相关实验视频

Last Updated: Jun 30, 2025

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科学领域:

  • 基因组学就是基因组学.
  • 计算生物学 计算生物学
  • 分子生物学分子生物学

背景情况:

  • 高通量测序产生了大量的遗传数据,揭示了各种突变.
  • 解释不确定意义的变异 (VUS) 对临床应用至关重要.
  • 需要对遗传变异对细胞行为的影响进行预测建模.

研究的目的:

  • 审查用于预测突变效应的计算建模方法.
  • 突出蛋白质错折在疾病机制中的作用.
  • 讨论计算和实验方法的整合.

主要方法:

  • 对用于变量效应预测的计算建模技术的审查.
  • 专注于预测突变诱导蛋白质错折的方法.
  • 对不同基因应用的分析.

主要成果:

  • 计算模型,特别是蛋白质错折的计算模型,对于VUS解释是有效的.
  • 这些方法有助于理解蛋白质或域功能损失.
  • 大规模的计算屏幕正在变得越来越容易处理.

结论:

  • 对变异效应的计算预测,特别是通过蛋白质错折,对于临床基因组学至关重要.
  • 这种方法支持临床诊断和患者治疗策略.
  • 未来的方向包括将这些方法与高通量实验技术相结合.