Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Drug Dependence01:17

Drug Dependence

964
Medications are typically administered to achieve therapeutic effects. Some drugs can modify an individual's mood and perception, frequently resulting in various enjoyable experiences. However, this can result in drug dependency, a condition marked by continuous drug use despite potential negative consequences. Drug dependency primarily falls into two categories: psychological and physical dependence. Psychological dependence occurs when the pleasurable feelings induced by the drug...
964
Agonism and Antagonism: Quantification01:14

Agonism and Antagonism: Quantification

296
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...
296
Determination of Renal Drug Clearance: Graphical and Midpoint Methods01:07

Determination of Renal Drug Clearance: Graphical and Midpoint Methods

64
Renal clearance, a crucial parameter in pharmacokinetics, can be determined using two different methods: the graphical method and the midpoint method. These methods provide insights into the rate of drug excretion by the kidneys and aid in assessing renal function.
The graphical method involves plotting the rate of drug excretion in urine against the plasma drug concentration. By analyzing the graph, the clearance can be calculated and obtained. Drugs rapidly excreted by the kidneys exhibit a...
64
Drug Concentration Versus Time Correlation01:15

Drug Concentration Versus Time Correlation

567
The plasma drug concentration-time curve is a crucial tool in pharmacokinetics, representing the drug's concentration in plasma at different time intervals post-administration. This curve illustrates the drug's journey from absorption into the systemic circulation, distribution to body tissues, and eventual elimination through excretion or biotransformation.
Two pivotal parameters are the minimum effective concentration (MEC) and the minimum toxic concentration (MTC). The MEC is the...
567
Combined Effects of Drugs: Antagonism01:30

Combined Effects of Drugs: Antagonism

8.2K
The combined effects of drugs can result in various interactions, of which an important type is antagonism. Antagonism is a mechanism where one drug inhibits or counteracts the effects of another drug. Antagonism can occur through various means, including receptor binding, allosteric modulation, functional interaction, chemical reactions, and pharmacokinetic processes.
The most common type is receptor antagonism, where one drug acts as an antagonist to block the effects of another drug by...
8.2K
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

35
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
35

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

OCT-Derived Index of Plaque Attenuation as a Quantitative Metric for Histological Plaque Vulnerability in Human Coronary Atherosclerosis.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions·2026
Same author

A nomogram as a predictive tool for lymph node metastasis in papillary thyroid carcinoma.

Frontiers in endocrinology·2026
Same author

Scavenger receptor class F member 2 is an intracellular receptor for hepatitis B virus.

Cell·2026
Same author

Prognostic value and therapeutic potential of the cuproptosis-related gene LOXL2 in thyroid cancer.

Translational oncology·2026
Same author

VFMol: A Discrete Flow Matching Variational Autoencoder for Molecular Graph Generation.

Journal of chemical information and modeling·2026
Same author

GABAergic interneuron subtypes differentially regulate noise correlations that are critical for visual orientation discrimination in mice.

Cell reports·2026

相关实验视频

Updated: May 22, 2025

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
05:10

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

Published on: December 11, 2016

9.3K

多重依赖图的卷积网络和对比学习用于药物重新定位.

Yanglan Gan1, Shengnan Li1, Guangwei Xu1

  • 1School of Computer Science and Technology, Donghua University, Shanghai 201620, China.

Journal of chemical information and modeling
|March 12, 2025
PubMed
概括

这项研究介绍了MDGCN,一种用于药物重新定位的新计算方法. 通过使用多依赖图和对比学习来克服数据限制,MDGCN增强了药物疾病关联预测.

科学领域:

  • 药理学 药理学是指药理学的学科.
  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 药物重新定位通过确定现有药物的新用途来加速治疗发展.
  • 计算方法,包括基于图形的方法,用于预测药物-疾病关系.
  • 现有的基于图的方法经常忽略节点特定的信息,并与数据噪声和稀疏性作斗争.

研究的目的:

  • 开发一种新的计算药物重新定位方法,以改善药物疾病关联预测.
  • 解决现有的基于图形的方法的局限性,例如忽略语义影响和数据稀疏性.

主要方法:

  • 提出MDGCN,一种集成多依赖图卷积网络和对比学习的方法.
  • 使用药物/疾病相似性和药物/疾病关系矩阵构建多重依赖图.
  • 采用图形卷积网络进行信息传播和对比学习来对齐跨视图和层的节点嵌入.

主要成果:

  • 与七种先进方法相比,MDGCN在药物疾病关联预测方面表现优越.
  • 该方法通过对比的学习策略,有效地处理药物疾病联系的弱监督.
  • 实验结果验证了MDGCN在识别潜在治疗指示方面的有效性.

结论:

更多相关视频

Diagonal Method to Measure Synergy Among Any Number of Drugs
12:08

Diagonal Method to Measure Synergy Among Any Number of Drugs

Published on: June 21, 2018

18.4K
A Protocol for Measuring Cue Reactivity in a Rat Model of Cocaine Use Disorder
07:51

A Protocol for Measuring Cue Reactivity in a Rat Model of Cocaine Use Disorder

Published on: June 18, 2018

10.5K

相关实验视频

Last Updated: May 22, 2025

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
05:10

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

Published on: December 11, 2016

9.3K
Diagonal Method to Measure Synergy Among Any Number of Drugs
12:08

Diagonal Method to Measure Synergy Among Any Number of Drugs

Published on: June 21, 2018

18.4K
A Protocol for Measuring Cue Reactivity in a Rat Model of Cocaine Use Disorder
07:51

A Protocol for Measuring Cue Reactivity in a Rat Model of Cocaine Use Disorder

Published on: June 18, 2018

10.5K
  • MDGCN为计算药物重新定位提供了一个强大的方法.
  • 该方法提高了预测药物疾病关联的准确性.
  • MDGCN为发现药物的新疗法应用提供了宝贵的支持.