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相关概念视频

Protein Organization01:24

Protein Organization

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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....
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Protein Organization01:13

Protein Organization

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Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

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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 Folding01:22

Protein Folding

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Protein Folding01:25

Protein Folding

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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...
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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: Jan 11, 2026

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion
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设计灵活的蛋白质结构和采样蛋白质构造,使用使用矢量量化和扩散的统一模型进行测量.

Yufeng Liu1,2, Linghui Chen3, Quan Chen1,2

  • 1MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, School of Life Sciences, Division of Life Sciences and Medicine, Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei 230001, China.

National science review
|November 17, 2025
PubMed
概括
此摘要是机器生成的。

我们开发了蛋白质矢量量量化和扩散 (PVQD),这是一种深度学习方法,用于预测蛋白质结构和设计新的蛋白质结构. PVQD有效地模拟了蛋白质结构动态,改进了现有的结构预测和设计方法.

关键词:
人工智能用于生物学.机器学习是机器学习.蛋白质设计 蛋白质设计蛋白质结构预测 蛋白质结构预测

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Analyzing Protein Architectures and Protein-Ligand Complexes by Integrative Structural Mass Spectrometry
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科学领域:

  • 计算生物学是一种计算生物学.
  • 结构生物学是结构生物学.
  • 为蛋白质科学进行深度学习.

背景情况:

  • 蛋白质的结构动态对于生物功能至关重要.
  • 预测和设计具有动态能力的蛋白质结构是分子生物学中的一个关键挑战.
  • 深度学习方法显示出对理解和工程蛋白质结构的承诺.

研究的目的:

  • 为了引入蛋白质载体量化和扩散 (PVQD),一个新的深度学习框架.
  • 为了能够准确地预测蛋白质结构分布,并设计具有所需动态的蛋白质.
  • 为了捕捉对蛋白质结构动态的依赖序列的影响.

主要方法:

  • 使用矢量量子化自动编码器来学习蛋白质骨干的潜在表示.
  • 采用潜空间扩散模型用于蛋白质骨干生成和 conformation 采样.
  • 在原生蛋白序列上采用有条件的合样本.

主要成果:

  • PVQD产生蛋白质骨干,其二次结构,循环长度和域大小的自然分布.
  • 与现有方法相比,PVQD在复制基准蛋白的实验结构变异方面表现出卓越的性能.
  • PVQD准确地捕获了像K-Ras和KaiB这样的蛋白质中对功能形状动态的序列特定影响.

结论:

  • PVQD框架为蛋白质结构预测和设计提供了一种统一的方法.
  • 隐性空间扩散是建模和生成蛋白质结构动态的强大工具.
  • 通过使具有可控动态性质的蛋白质设计成为可能,PVQD推动了蛋白质工程领域的进步.