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相关概念视频

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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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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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 Organization01:24

Protein Organization

7.2K
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....
7.2K
Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

2.3K
Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
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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: Sep 15, 2025

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

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超越静态结构:在后AlphaFold时代对蛋白质动态构造进行建模.

Xinyue Cui1, Lingyu Ge1, Xia Chen1

  • 1College of Information Engineering, Zhejiang University of Technology, 288 Liuhe Road, Hangzhou 310023, Zhejiang, China.

Briefings in bioinformatics
|July 15, 2025
PubMed
概括

深度学习,像AlphaFold一样,擅长预测静态蛋白质结构. 然而,理解蛋白质功能需要建模动态结构变化,这是人工智能驱动的结构生物学中的一个关键挑战.

关键词:
深度学习是一种深度学习.扩散模型的扩散模型.动态构造 动态构造 结构总的来说,一个团队就是一个团队.分子动力学 (MD) 是指分子动力学.蛋白质结构预测 蛋白质结构预测

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相关实验视频

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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

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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.
  • 生物物理学的生物物理.

背景情况:

  • 深度学习,以AlphaFold为例,已经改变了静态蛋白质结构的预测.
  • 蛋白质功能与动态形状转换密切相关,而不仅仅是静态结构.
  • 了解这些动态对于阐明蛋白质机制和调节至关重要.

研究的目的:

  • 审查蛋白质动态构造的基本概念.
  • 调查用于建模AlphaFold后蛋白质动态的计算方法.
  • 在人工智能驱动的蛋白质构成研究中确定挑战和未来方向.

主要方法:

  • 关于蛋白质动力学概念的文献综述.
  • 对蛋白质结构变化的计算建模技术的调查.
  • 对现场挑战和未来研究途径的分析.

主要成果:

  • 深度学习推进了蛋白质结构预测,但多态建模仍然是一个挑战.
  • 关键的挑战包括数据限制,方法限制和动态的评估指标.
  • 提出了潜在的战略和未来的研究方向,以推动该领域的发展.

结论:

  • 从静态到动态蛋白质表示的过渡对于理解功能至关重要.
  • 应对当前的挑战对于推进人工智能驱动的结构生物学至关重要.
  • 对蛋白质动态的进一步研究将进一步深入了解生物机制.