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相关概念视频

Protein Folding01:22

Protein Folding

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Overview
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RNA-seq03:21

RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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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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Maxam-Gilbert Sequencing01:05

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In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
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Molecular Chaperones and Protein Folding03:00

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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.
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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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相关实验视频

Updated: Sep 12, 2025

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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序列聚类是否发现AlphaFold2?

Hannah K Wayment-Steele1, Sergey Ovchinnikov2, Lucy Colwell3

  • 1Department of Integrated Structural and Computational Biology, Scripps Research & Howard Hughes Medical Institute, La Jolla, CA, USA; Department of Biochemistry, University of Wisconsin, Madison, WI, USA.

Journal of molecular biology
|August 8, 2025
PubMed
概括
此摘要是机器生成的。

这项研究驳斥了对AF-Cluster的说法,表明局部进化合对于使用AlphaFold2.2预测蛋白质构造状态至关重要. 这些发现澄清了对结构生物学深度学习模型的解释.

关键词:
在AlphaFold2中,我们使用了AlphaFold2.集群集成是指集群集成.构成组合的构成组合.进化性的合.变形蛋白质是一种变形蛋白质.

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科学领域:

  • 结构生物学是结构生物学.
  • 计算生物学是一种计算生物学.
  • 深度学习应用程序深度学习应用程序

背景情况:

  • 预测蛋白质构成状态是一个关键的挑战.
  • 许多方法扰乱AlphaFold2 (AF2) 来采样多个状态.
  • 了解深度学习模型为什么起作用对于开发和使用至关重要.

研究的目的:

  • 在最近对AF集群的批评中解决误解 (Wayment-Steele等,2024).
  • 澄清局部进化合在AF-Cluster预测中的作用.
  • 驳斥波特等人提出的不准确结论. (2023) 和相关的工作.

主要方法:

  • 进一步分析AF-Cluster的预测机制.
  • 研究多个序列对齐 (MSA) 集群的影响.
  • 直接解决和反驳有关进化合的具体批评.

主要成果:

  • 当地的进化合在AF-Cluster预测中发挥着重要作用.
  • 批评AF-Cluster不使用局部进化合是不正确的.
  • 支持AF-Cluster有效性的原始发现得到了加强.

结论:

  • AF-Cluster有效地利用局部进化合来进行蛋白质构型采样.
  • 该研究驳斥了虚假的说法,并澄清了该方法的有效性.
  • 这项工作有助于更好地理解结构生物学中的深度学习模型.