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相关概念视频

Desensitization and Tachyphylaxis01:20

Desensitization and Tachyphylaxis

1.6K
Tachyphylaxis is described as a rapid decrease in response to a drug after repeated or continuous administration of the same drug dose. It is a phenomenon where the body becomes less responsive to a particular substance or intervention over time, requiring higher doses or stronger interventions to achieve the same effect. It results from adaptive changes in the body's receptors, signaling pathways, or physiological processes that occur in response to prolonged exposure to a stimulus.
1.6K
Pharmacovigilance01:19

Pharmacovigilance

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Post-marketing surveillance is a critical component of pharmaceutical regulation, often uncovering unanticipated adverse drug reactions (ADRs) once a drug is widely used over an extended period.
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
788
Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

677
Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
677
Drug Discovery: Overview01:26

Drug Discovery: Overview

7.6K
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...
7.6K
Drug-Receptor Interaction: Antagonist01:28

Drug-Receptor Interaction: Antagonist

2.8K
An antagonist is a drug that binds strongly to a receptor without activating it. An antagonist prevents other molecules, such as neurotransmitters or hormones, from binding to the receptor and triggering a cellular response. Such interaction effectively hinders the normal physiological processes mediated by the receptor, resulting in various pharmacological effects depending on the specific receptor targeted.
Antagonists can be classified as competitive or noncompetitive based on their...
2.8K
Drug Therapy01:28

Drug Therapy

40
The advent of drug therapy has profoundly shaped modern mental health care, providing targeted treatments for a range of psychological disorders. Psychotherapeutic drugs, classified into antianxiety, antidepressant, and antipsychotic medications, address symptoms across anxiety disorders, mood disorders, and schizophrenia. While these medications have transformed patient outcomes, they require careful management due to their potential side effects and limitations.
Antianxiety Medications
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相关实验视频

Updated: Jun 13, 2025

A Prediction Error-driven Retrieval Procedure for Destabilizing and Rewriting Maladaptive Reward Memories in Hazardous Drinkers
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A Prediction Error-driven Retrieval Procedure for Destabilizing and Rewriting Maladaptive Reward Memories in Hazardous Drinkers

Published on: January 5, 2018

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为药物重新定位而进行自适应性失调学习.

Yajie Meng1, Yi Wang1, Xinrong Hu1

  • 1School of Computer Science and Artificial Intelligence, Wuhan Textile University, Wuhan, 430200, Hubei, China.

Journal of biomedical informatics
|May 19, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了DRDM,这是一种深度学习框架,用于解决药物重新定位数据集中的偏差. 通过专注于代表性不足的实体,DRDM增强了新药用途的发现.

关键词:
相反的学习学习.移除偏差机制的机制药物重新定位 药物重新定位

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相关实验视频

Last Updated: Jun 13, 2025

A Prediction Error-driven Retrieval Procedure for Destabilizing and Rewriting Maladaptive Reward Memories in Hazardous Drinkers
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A Method for Remotely Silencing Neural Activity in Rodents During Discrete Phases of Learning

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科学领域:

  • 计算生物学是一种计算生物学.
  • 药理学 药理学是指药理学的学科.
  • 人工智能的人工智能是人工智能.

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制药发展.
  • 图形神经网络 (GNN) 深度学习方法对药物重新定位有希望.
  • 现有的药物重新定位数据集显示节点两极分化,具有流行的和长尾实体,可能引入偏差.

研究的目的:

  • 分析药物重新定位数据集的固有偏差.
  • 提出一种新的深度学习框架,DRDM,以减轻药物重新定位中的数据偏差.
  • 增强长尾实体对新药发现洞察力的代表性.

主要方法:

  • 对三种常见药物重新定位数据集的分析,以确定节点极化.
  • 开发DRDM,一个深度学习框架,带有退化机制.
  • 实施动态权重调整以解决对受欢迎实体的偏见.
  • 整合双视图对比学习以提高模型稳定性.

主要成果:

  • 在分析的药物重新定位数据集中确定了一致的节点偏向.
  • DRDM有效地减轻了与受欢迎实体相关的偏见,改善了长尾实体的代表性.
  • 实验结果显示DRDM在现有模型中具有强大的竞争力.
  • 案例研究表明DRDM在药物发现方面的实际潜力.

结论:

  • 节点极化是药物重新定位数据集的关键特征,需要缓解偏差.
  • DRDM提供了一种有效的深度学习方法,以解决数据偏差并增强药物重新定位.
  • 拟议的框架有可能揭示新的药物向关联,并加速药物发现.