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相关概念视频

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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Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

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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...
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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...
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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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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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Fundamental Mathematical Principles in Pharmacokinetics: Calculus and Graphs01:21

Fundamental Mathematical Principles in Pharmacokinetics: Calculus and Graphs

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The fundamental mathematical principles, such as calculus and graphs, play crucial roles in analyzing drug movement and determining pharmacokinetic parameters. Differential calculus examines rates of change and helps to determine the dissolution rate of drugs in biofluids, as well as how drug concentrations change over time. For instance, it can help calculate the rate of elimination of a drug from the body based on its concentration-time profile.
On the other hand, integral calculus focuses on...
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相关实验视频

Updated: Jul 19, 2025

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
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图形学习和因果推理用于药物重用.

Tao Xu1, Jinying Zhao1, Momiao Xiong2

  • 1Department of Epidemiology, University of Florida, Gainesville, FL 32611, USA.

medRxiv : the preprint server for health sciences
|August 14, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一个使用因果推断和图形神经网络 (GNN) 的新框架,通过分析基因表达数据来发现药物重定向的机会. 该方法解决了目前用于识别可以逆转疾病相关基因表达变化的药物的方法的局限性.

科学领域:

  • 计算生物学 计算生物学
  • 药理学 药理学是指药理学的学科.
  • 生物信息学是一种生物信息学.
关键词:
因果关系网络是因果关系网络.药物重用是为了改变药物的用途.药物目标是药物目标.图形神经网络的神经网络这是一个回归回归的回归.

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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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背景情况:

  • 发现药物重用指示依赖于通过基因表达特征连接药物干扰,疾病特征和临床数据.
  • 目前的基因表达逆转方法是有限的,专注于单个基因,缺乏因果和基于图的方法来识别药物重定向候选人.

结论:

  • 提出的因果推断和基于GNN的框架提供了一种强大的方法来识别潜在的药物重用候选人.
  • 应用于LINCS L1000数据和SARS-CoV-2基因表达,证明了在药物发现中的实际实用性.
  • 这种方法推进了基因表达数据的分析,以确定现有药物的新疗法应用.