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相关概念视频

Protein Organization01:24

Protein Organization

9.0K
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....
9.0K
Molecular Models02:00

Molecular Models

43.4K
Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
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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...
86.6K
Protein and Protein Structures02:15

Protein and Protein Structures

18.2K
18.2K
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

3.9K
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Ligand Binding and Linkage00:49

Ligand Binding and Linkage

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Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence...
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相关实验视频

Updated: Jan 9, 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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Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion

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通过结构意识粗粒度语言建模来进行分子级蛋白质语义学习.

Jun Zhang1,2, Xueer Weng1,2, Tiantian Zhu1,2

  • 1School of Artificial Intelligence, Shenzhen University, Shenzhen, Guangdong 518060, China.

Bioinformatics (Oxford, England)
|December 6, 2025
PubMed
概括

这项研究引入了一种新的粗粒蛋白语言模型,该模型使用结构模式而不是氨基酸序列. 这种方法改善了对大型蛋白质及其功能的分析.

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A Protocol for Computer-Based Protein Structure and Function Prediction
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科学领域:

  • 计算生物学 计算生物学
  • 结构生物信息学 结构生物信息学
  • 机器学习 机器学习

背景情况:

  • 目前的蛋白质语言模型 (PLMs) 使用氨基酸序列,限制了对大型蛋白质的整体理解.
  • 这些细粒度模型难以捕捉分子层次的语义,并整合空间结构信息.
  • 需要粗粒度的框架来弥合序列和结构语义,以改善蛋白质分析.

研究的目的:

  • 开发一种新的结构感知粗粒蛋白质语言.
  • 通过使用局部结构模式,将蛋白质表示为紧的,结构意识的"句子".
  • 为了增强分子水平分析和蛋白质功能预测.

主要方法:

  • 从二次结构中获得的局部结构模式中分泌蛋白质.
  • 构建这些模式的词汇作为"单词"以形成"句子".
  • 与使用Doc2Vec和BERT架构的细粒度PLM和经典NLP方法进行基准测试.

主要成果:

  • 这种粗的语言在功能预测,酶分类和相互作用识别任务中实现了稳定的性能.
  • 证明了性能的提高,特别是对于长蛋白质,保留了关键的结构和功能语义.
  • 这种方法为从蛋白质结构中解码更高级生物见解提供了一个有希望的方向.

结论:

  • 拟议的粗粒型蛋白质语言通过结合结构信息,有效地捕捉了分子层次的语义.
  • 这种方法增强了对大型蛋白质及其功能的分析,克服了基于序列模型的局限性.
  • 为推进计算生物学和蛋白质表示提供了一个新的框架.