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相关概念视频

Agonism and Antagonism: Quantification01:14

Agonism and Antagonism: Quantification

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When drugs are administered, they can elicit either an agonist or antagonist effect on the body. Agonism occurs when a drug activates a specific receptor, triggering a biological response. On the other hand, antagonism happens when a drug binds to the same receptors but blocks their activation, thereby preventing a biological response.
To quantify these effects, researchers use a dose-response curve, which provides valuable information about the potency and efficacy of a drug. Potency refers to...
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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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Drug Discovery: Overview01:26

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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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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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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.
Several parameters, such as the drug's affinity for its receptor and its efficacy, which is its ability to activate the receptor, determine the drug's effect on the tissue....
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Principles of Drug Action01:24

Principles of Drug Action

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Drugs are chemical substances that modify biological responses by interacting with macromolecular targets such as receptors, ion channels, transporters, and enzymes. Pharmacodynamics describes the course of action of drugs leading to the physiological effect at a specific site in the body.
Drugs can be agonists or antagonists. Like the endogenous ligands, agonists always bind and activate the target to produce a cellular response. Agonist binding induces a conformational change which in turn...
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相关实验视频

Updated: Jun 28, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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DTKGIN:基于知识图和意图图的药物向相互作用预测.

Yi Luo1, Guihua Duan1, Qichang Zhao1

  • 1School of Computer Science and Engineering, Central South University, Changsha 410083, China; Hunan Provincial Key Lab on Bioinformatics, Central South University, Changsha 410083, China.

Methods (San Diego, Calif.)
|April 12, 2024
PubMed
概括

这项研究介绍了DTKGIN,这是一种用于预测药物向相互作用 (DTI) 的新型计算模型. DTKGIN利用知识图表和意图图表来提高准确性,特别是在具有挑战性的冷启动场景中.

关键词:
药物-标药物相互作用意图图表意图图表意图图表意图图表意图图表意图图表意图图表意图图表意图图表意图图表意图图表意图图表意图图表意图图表意图图表意图图表意图图表意图图表意图图表意图图表意图表意图表意图图表意图图表意图图表意图表意图表意图表意图表意图表意图表意图表意图图表意图图表意图表意图图表意图表意图表意图表意图表意图表意图表意图表意图表意图表意图表意图表意图表意图表意图表意图表意图表意图表意图表意图表意图表意图表意图表意图表意图表意图表意图表知识图表知识图表

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科学领域:

  • 计算生物学是一种计算生物学.
  • 药物发现 药物发现
  • 生物信息学是一种生物信息学.

背景情况:

  • 预测药物向相互作用 (DTI) 对有效的药物发现和开发至关重要.
  • 计算方法减少了与实验方法相关的高成本和风险.
  • 现有的DTI预测方法面临着数据稀疏性和冷启动问题的挑战.

研究的目的:

  • 开发一种先进的计算模型,用于预测药物向相互作用.
  • 解决现有方法的局限性,特别是数据稀疏性和冷启动问题.
  • 提高药物发现管道的准确性和效率.

主要方法:

  • 一个新的模型,DTKGIN,是使用知识图和意图图开发的.
  • DTKGIN通过在知识图中挖掘药物和目标关系来捕获生物环境信息.
  • 它通过一个意图图表考虑细粒度的药物-目标相互作用,学习药物和目标的表示.

主要成果:

  • 与最先进的方法相比,DTKGIN在10倍交叉验证中表现出更高的性能.
  • 该模型在冷启动实验环境中表现出特别高的效率.
  • 案例研究证实了DTKGIN在识别潜在的药物向相互作用方面的能力.

结论:

  • DTKGIN提供了一种强大而有效的方法来预测药物向相互作用.
  • 该模型处理稀疏性和冷启动问题的能力推动了计算药物发现.
  • DTKGIN为研究人员提供了一种有价值的工具,旨在加快新型治疗点的识别.