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Related Concept Videos

Pharmacokinetics: Drug–Drug Interactions01:25

Pharmacokinetics: Drug–Drug Interactions

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Drug interactions occur when the pharmacological effect of one drug is altered by another substance, either enhancing or diminishing its activity. The drug whose activity is altered is known as the object drug, and the substance causing the alteration is called the agent drug or the precipitant. The net effects of these interactions are mostly undesirable, leading to decreased effectiveness or increased adverse effects. In rare cases, interactions can be beneficial, such as the enhanced...
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Pharmacokinetics: Drug–Food and Drug–Viral Interactions01:26

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A drug interaction occurs when the concurrent use of another drug, food, or an external substance alters the pharmacological activity of a drug. This interaction can modify the action of the original drug, affecting its effectiveness and safety.Drug–food interactions are significant as they impact drug absorption, metabolism, and excretion. For example, grapefruit juice is a well-known disruptor of drug metabolism. It inhibits the cytochrome P450 3A4 enzyme, crucial for the metabolism of...
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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-Receptor Interaction: Antagonist01:28

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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.
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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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Agonism and Antagonism: Quantification01:14

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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.
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Overview of Current Herb-Drug Interaction Databases.

Yufeng Zhang1, Chung Man Ip1, Yuen Sze Lai1

  • 1School of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR.

Drug Metabolism and Disposition: the Biological Fate of Chemicals
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Summary

Herb-drug interaction databases are crucial for safety but often incomplete. This review analyzes existing databases and proposes solutions, including AI and standardized data formats, to improve herb-drug interaction information.

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Area of Science:

  • Pharmacology and Toxicology
  • Bioinformatics and Data Science

Background:

  • Herb-drug interactions (HDI) are a growing safety concern due to the popularity of traditional medicines.
  • Existing Herb-Drug Interaction (HDI) databases are often outdated, incomplete, or lack comprehensive data.
  • Developing and maintaining HDI databases requires significant resources and expertise.

Purpose of the Study:

  • To review and compare currently available Herb-Drug Interaction (HDI) databases.
  • To identify limitations in existing HDI databases regarding content, user interface, and sustainability.
  • To propose solutions for improving HDI data collection and evaluation, including the potential of AI.

Main Methods:

  • A comprehensive review of ten existing Herb-Drug Interaction (HDI) databases.
  • Comparative analysis of database scope, content extraction, user interfaces, and sustainability.
  • Quantification of herb references in each database and visualization using a heatmap.
  • Exploration of Artificial Intelligence (AI) and Natural Language Processing (NLP) applications.

Main Results:

  • Significant variability exists among HDI databases in terms of content coverage and focus.
  • Many publicly available HDI databases are outdated or incomplete.
  • Current AI applications in HDI data extraction are limited by data scarcity and lack of annotated datasets.

Conclusions:

  • There is a critical need for improved, up-to-date, and comprehensive Herb-Drug Interaction (HDI) databases.
  • Standardized data reporting formats and the use of Concept Unique Identifiers (CUIs) can accelerate structured data collection.
  • AI and NLP hold potential for enhancing HDI database development if challenges in data availability and annotation are addressed.