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相关概念视频

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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Protein Networks02:26

Protein Networks

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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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Targets for Drug Action: Overview01:26

Targets for Drug Action: Overview

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Drugs target macromolecules to modify ongoing cellular processes. Primary drug targets include receptors, ion channels, transporters, and enzymes.
Receptors are either membrane-spanning or intracellular proteins, which upon binding a ligand, get activated and transmit the signal downstream to elicit a response. Drugs bind receptors, either mimicking the action of endogenous ligands or blocking the receptor activity to bring about a modified response. Nearly 35% of approved drugs target the G...
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Quantitative Aspects of Drug-Receptor Interaction01:30

Quantitative Aspects of Drug-Receptor Interaction

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The receptor occupancy theory connects a drug's response to the number of occupied receptors. With higher drug concentrations, more receptors are occupied, leading to increased responses. The formation of drug-receptor complexes involves association and dissociation rates, which reach equilibrium when the forward and backward reactions are equal. The equilibrium association constant (Ka) and its inverse, the equilibrium dissociation constant (Kd), indicate drug affinity. Higher Ka and lower...
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Drug-Receptor Interactions01:29

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Drug-receptor interaction describes the binding of receptors by drugs, but not all drug-receptor interactions result in activation and tissue response. For instance, the binding of agonists activates the receptor to generate a cellular reaction, while antagonists bind to receptors without causing their activation.
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Drug Discovery: Overview01:26

Drug Discovery: Overview

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Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
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相关实验视频

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Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
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基于元路径和相互信息的图形卷积网络,用于药物向相互作用预测.

Shujuan Cao1, Binying Cai1, Zhejian Qiu1

  • 1School of Mathematical Sciences, Tiangong University, Tianjin, China.

BMC bioinformatics
|November 7, 2025
PubMed
概括

一个新的图形卷积网络GCNMM通过整合元路径和相互信息来增强药物向相互作用 (DTI) 的预测. 这种方法提高了药物重新定位的效率,并降低了实验成本.

关键词:
药物-标药物相互作用图表卷积网络的图表卷积网络.异质网络是异质的网络.互助信息互助信息互助信息互助信息

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科学领域:

  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.
  • 网络科学 网络科学

背景情况:

  • 药物向相互作用 (DTI) 对于药物重新定位至关重要,但预测面临着数据稀疏性等挑战.
  • 深度学习方法在复杂网络中无法充分表示特征关系.

研究的目的:

  • 开发一个新的图形卷积网络,GCNMM,用于预测潜在的DTI.
  • 解决药物向异质网络中的稀疏性和特征代表性问题.

主要方法:

  • 使用元路径和图形注意力网络构建了一个融合的DTI网络.
  • 通过基于的融合集成相似性网络,并使用图形卷积自动编码器.
  • 整合了空间拓一致性和双重优化相互信息最大化.

主要成果:

  • 与现有的基线模型相比,GCNMM在DTI预测中表现优越.
  • 实验结果证实了拟议的GCNMM模型的有效性.

结论:

  • GCNMM显示了准确的DTI预测的巨大潜力.
  • 该模型的实际有效性通过案例研究得到验证,支持其在药物重新定位中的应用.