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 Discovery: Overview01:26

Drug Discovery: Overview

7.7K
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...
7.7K
Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

697
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...
697
Drug Biotransformation: Overview01:16

Drug Biotransformation: Overview

2.4K
Pharmaceutical substances known as xenobiotics are predominantly lipophilic and nonionized. This enables them to permeate lipid bilayers, such as cell membranes, and interact with intracellular target receptors. Lipophilic drugs have an advantage in crossing biological barriers and reaching their intended sites of action. However, lipophilic drugs often have a restricted capacity for renal expulsion or elimination from the body. When these drugs enter the kidneys and undergo glomerular...
2.4K
Prodrugs01:30

Prodrugs

2.6K
Prodrugs are a class of pharmaceutical compounds that undergo a biotransformation process within the body to be converted into a pharmacologically active drug. Prodrugs are designed to improve the therapeutic properties of the parent drug, such as enhancing bioavailability, increasing stability, or reducing toxicity. The concept of prodrugs revolves around modifying the chemical structure of the original drug to make it more effective or convenient for administration.
Prodrugs help overcome...
2.6K
Drug Elimination: Non-Renal Routes01:23

Drug Elimination: Non-Renal Routes

2.3K
The liver plays a pivotal role in eliminating drugs and their metabolites, primarily through a process known as biliary excretion. This process involves the hepatocytes, the primary cells in the liver that generate bile. A range of transporters actively expels polar drugs or hydrophilic drug metabolites into the bile, which transports the drugs and metabolites into the small intestine. From here, they are eventually expelled from the body through feces. In some instances, the original drug or a...
2.3K
Kinetics of Drug Elimination01:17

Kinetics of Drug Elimination

3.4K
Eliminating drugs from the body is a vital process that occurs through excretion or metabolism. Understanding the kinetics of drug elimination is crucial for drug development, dosage determination, and optimizing patient outcomes.
Drug clearance depends on the rate of drug elimination and its plasma concentration. Another important parameter is the half-life of a drug, which is the time required for its concentration to decrease by half. In most cases, drug clearance follows first-order...
3.4K

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

Deep survival analysis in multimodal medical data: a parametric and probabilistic approach with competing risks.

Scientific reports·2026
Same author

MOSAIC: An Artificial Intelligence-Based Framework for Multimodal Analysis, Classification, and Personalized Prognostic Assessment in Rare Cancers.

JCO clinical cancer informatics·2024
Same author

Deep Learning for Efficient and Optimal Motion Planning for AUVs with Disturbances.

Sensors (Basel, Switzerland)·2021
Same author

Deep Reinforcement Learning for Attacking Wireless Sensor Networks.

Sensors (Basel, Switzerland)·2021
Same author

Software-In-Loop Simulation of an Underwater Wireless Sensor Network for Monitoring Seawater Quality: Parameter Selection and Performance Validation.

Sensors (Basel, Switzerland)·2021
Same author

Repeated Game Analysis of a CSMA/CA Network under a Backoff Attack.

Sensors (Basel, Switzerland)·2019
Same journal

Integrated multi-assessment and structural performance index framework for stacking-sequence optimisation of natural fibre reinforced laminates.

Scientific reports·2026
Same journal

SuperiorGAT: graph attention networks for sparse LiDAR point cloud reconstruction in autonomous systems.

Scientific reports·2026
Same journal

The effect of stretching the pectoralis major, sternocleidomastoid, and iliopsoas muscles on 800 m swimming performance in master swimmers.

Scientific reports·2026
Same journal

ISNR-PQC: isometry noise resilience post quantum cryptography primitive.

Scientific reports·2026
Same journal

Identification of high-yielding and stable genotypes of barley in the cold climate of Iran using AMMI and GGE biplot models.

Scientific reports·2026
Same journal

Bayesian negative binomial modelling of spatial and temporal patterns of road traffic deaths in Ghana.

Scientific reports·2026
查看所有相关文章

相关实验视频

Updated: Jun 20, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.6K

可以通过基于路径的知识图表完成可解释的药物重用.

Ana Jiménez1, María José Merino1, Juan Parras2

  • 1Information Processing and Telecommunications Center, Universidad Politécnica de Madrid, ETSI Telecomunicación, Avda. Complutense, 30, 28040, Madrid, Spain.

Scientific reports
|July 18, 2024
PubMed
概括
此摘要是机器生成的。

我们开发了XG4Repo,这是一个可解释的人工智能框架,用于药物重新使用. 它使用生物医学知识图来识别现有药物的新用途,提供可解释的验证路径.

关键词:
药物重新定位是药物重新定位.不同质的知识图.这就是Hetionet.net.可以解释性 解释性完成知识图表的完成.基于规则的链接预测.

更多相关视频

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

9.6K
High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method
07:51

High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method

Published on: May 21, 2018

11.8K

相关实验视频

Last Updated: Jun 20, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.6K
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

9.6K
High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method
07:51

High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method

Published on: May 21, 2018

11.8K

科学领域:

  • 生物医学信息学 生物医学信息学
  • 计算药理学计算药理学
  • 人工智能在药物发现中的作用

背景情况:

  • 药物再利用加速了对现有药物的新疗法应用的发现,节省了时间和成本.
  • 人工智能 (AI) 和知识图 (KGs) 可以处理庞大的数据集,以识别药物重用候选人.
  • 可解释性对于验证人工智能驱动的预测在药物重用中至关重要.

研究的目的:

  • 建议使用KG.用可解释的图表完成方法的一般架构.
  • 设计和介绍XG4Repo,这是一个新的框架,用于可解释的药物重用.
  • 为药物重用预测提供可解释的解释.

主要方法:

  • 开发了XG4Repo,一个利用生物医学KG连接的框架,将化合物与疾病联系起来.
  • 实现了多类型,多长度元路径的自动生成和优化.
  • 专注于基于连接化合物到疾病的途径生成解释,包括中间生物医学实体.

主要成果:

  • 通过可解释的路径,XG4Repo成功地将化合物与疾病联系起来.
  • 该框架利用基因,通路,副作用和解剖学等节点进行全面的解释.
  • 通过分析Epirubicin,Paclitaxel和Predinisone重定位的三个用例来证明它的实用性.

结论:

  • XG4Repo增强了人工智能驱动的药物重定向预测的解释性.
  • 该框架促进了专家验证和进一步研究药物重新用途.
  • 可解释的AI方法对于推进高效可靠的药物发现管道至关重要.