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相关概念视频

Ligand Binding Sites02:40

Ligand Binding Sites

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Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
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Protein-protein Interfaces02:04

Protein-protein Interfaces

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Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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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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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 Networks02:26

Protein Networks

3.9K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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Molecular Models02:00

Molecular Models

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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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相关实验视频

Updated: May 23, 2025

Analyzing Protein Architectures and Protein-Ligand Complexes by Integrative Structural Mass Spectrometry
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通过学习具有分子间相邻性的原子图谱来得分蛋白质-连接体结合结构.

Debby D Wang1, Yuting Huang1

  • 1School of Science and Technology, Hong Kong Metropolitan University, Ho Man Tin, Hong Kong.

PLoS computational biology
|May 9, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种高效的深度学习框架,用于评分蛋白质-连接体结合强度. 人工智能模型使用原子图来分析相互作用,改进计算药物发现.

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相关实验视频

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科学领域:

  • 生物分子科学 生物分子科学
  • 计算化学计算化学
  • 人工智能的人工智能

背景情况:

  • 人工智能 (AI) 越来越多地应用于科学领域,包括生物分子科学.
  • 准确地得分蛋白质 - 配体结合强度对于计算药物发现至关重要.
  • 现有的方法需要改进,以提高结合亲和力预测的效率和准确性.

研究的目的:

  • 开发一个高效的深度学习框架来评分蛋白质-连接体结合结构.
  • 为了提高结合强度预测在计算药物发现的准确性.
  • 为AI模型的预测提供可解释的见解.

主要方法:

  • 以高分辨率的原子图形表示蛋白质 - 连接体结合结构.
  • 通过定义基于多个距离范围的图边,专注于分子间相互作用.
  • 采用深度学习技术进行理性图表学习和结合强度预测.
  • 进行模型级和后期分析,以获得可解释性.

主要成果:

  • 拟议的框架证明了在约束性结构评分方面具有竞争力的表现.
  • 人工智能模型有效地捕获关键的原子信息和分子间相互作用.
  • 该框架显示了对蛋白质 - 配体结合亲和力预测任务的前景.
  • 可解释性分析为预测的结合强度提供了信心.

结论:

  • 开发的深度学习框架提供了一种高效和准确的方法来评分蛋白质-连接体结合.
  • 这种人工智能驱动的方法有可能显著推进计算药物发现.
  • 预计该框架的进一步开发和应用将有利于相关的科学领域.