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

10.9K
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...
10.9K
Targets for Drug Action: Overview01:26

Targets for Drug Action: Overview

10.0K
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...
10.0K
Drug Biotransformation: Overview01:16

Drug Biotransformation: Overview

3.5K
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...
3.5K
Drug Biotransformation: Overview01:28

Drug Biotransformation: Overview

2.4K
Biotransformation, also known as drug metabolism, is a vital physiological process that chemically alters drugs, facilitating their elimination from the body and terminating their action. This process involves two main phases: phase I and phase II reactions. Phase I reactions, including oxidation, reduction, and hydrolysis, introduce or unmask polar functional groups on the drug molecule, thereby increasing its water solubility. By enhancing water solubility, the drug becomes more hydrophilic...
2.4K
Drug Delivery: Overview01:16

Drug Delivery: Overview

703
The selection of a drug's delivery route depends upon its physicochemical properties, including lipid or water solubility and ionization, as well as the therapeutic requirement, such as immediate or sustained effect. These routes can be divided into three primary categories: enteral, parenteral, and topical.
Enteral delivery involves administering drugs directly through swallowing, sublingual placement, or buccal application. Orally administered drugs predominantly navigate the...
703
Drug-Receptor Interaction: Agonist01:25

Drug-Receptor Interaction: Agonist

3.7K
Agonists are drugs that interact with specific receptors in the body to produce a biological response. When an agonist binds to a receptor, it activates or enhances the receptor's function, leading to physiological effects. The interaction between agonist drugs and receptors is crucial for their therapeutic action in various medical treatments.
Agonists can bind to receptors in different ways. Some agonists bind directly to the receptor's active site, mimicking the endogenous...
3.7K

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

Physical activity levels may impact on the risk of premature mortality in people with epilepsy.

Nature communications·2025
Same author

Uncertainty-aware ensemble of foundation models differentiates glioblastoma from its mimics.

Nature communications·2025
Same author

Pancancer outcome prediction via a unified weakly supervised deep learning model.

Signal transduction and targeted therapy·2025
Same author

Deep Learning-Enabled Integration of Histology and Transcriptomics for Tissue Spatial Profile Analysis.

Research (Washington, D.C.)·2025
Same author

A pathology foundation model for cancer diagnosis and prognosis prediction.

Nature·2024
Same author

Predicting physical functioning status in older adults: insights from wrist accelerometer sensors and derived digital biomarkers of physical activity.

Journal of the American Medical Informatics Association : JAMIA·2024

相关实验视频

Updated: Jan 9, 2026

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

10.1K

基于提示的多式联络代表学习,用于药物重用.

Jinliang Liu1,2, Kaicheng U3, Dhruv Rana4

  • 1School of Computer Science and Artificial Intelligence, Zhengzhou University, No. 100 Science Avenue, Zhengzhou, Henan 450001, China.

Briefings in bioinformatics
|December 2, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的深度学习框架,用于药物重定位,改善化合物-蛋白质相互作用的预测. 该方法通过识别潜在的治疗方法来增强药物发现,比如非成性止痛药.

关键词:
药物重用是为了改变药物的用途.多式联络 多式联络 多式联络快速学习 快速学习代表性学习学习学习

更多相关视频

Pharmacophore Modeling for Targets with Extensive Ligand Libraries: A Case Study on SARS-CoV-2 Mpro
05:50

Pharmacophore Modeling for Targets with Extensive Ligand Libraries: A Case Study on SARS-CoV-2 Mpro

Published on: September 26, 2025

1.4K
A Method for Remotely Silencing Neural Activity in Rodents During Discrete Phases of Learning
09:22

A Method for Remotely Silencing Neural Activity in Rodents During Discrete Phases of Learning

Published on: June 22, 2015

15.0K

相关实验视频

Last Updated: Jan 9, 2026

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

10.1K
Pharmacophore Modeling for Targets with Extensive Ligand Libraries: A Case Study on SARS-CoV-2 Mpro
05:50

Pharmacophore Modeling for Targets with Extensive Ligand Libraries: A Case Study on SARS-CoV-2 Mpro

Published on: September 26, 2025

1.4K
A Method for Remotely Silencing Neural Activity in Rodents During Discrete Phases of Learning
09:22

A Method for Remotely Silencing Neural Activity in Rodents During Discrete Phases of Learning

Published on: June 22, 2015

15.0K

科学领域:

  • 计算化学是一种计算化学.
  • 药物发现 药物发现
  • 医学中的人工智能

背景情况:

  • 药物重新定位通过降低成本和时间表来加速药物发现.
  • 当前的深度学习方法通常使用静态分子结构,限制了捕获动态相互作用.
  • 准确预测化合物-蛋白相互作用对于有效的药物重定向至关重要.

研究的目的:

  • 开发一个创新的基于提示的多式联络代表性学习框架,以加强药物重用.
  • 解决静态表示在预测动态化合物-蛋白质相互作用中的局限性.
  • 提高特定治疗点的候选药物识别的准确性.

主要方法:

  • 引入了一个基于提示的多式联络代表学习框架.
  • 开发了一个动态提示生成模块,用于适应性,受体特定的提示.
  • 实现了一个提示校准模块,用于多式联运功能集成和优化.
  • 应用框架来识别FDA批准的药物候选物,针对G蛋白结合受体.

主要成果:

  • 与最先进的方法相比,平均绝对误差提高了7.4%.
  • 对于特定的药物标,已显示出高达25.1%的改善.
  • 成功确定了潜在的非阿片类药物疼痛管理治疗方法.

结论:

  • 拟议的框架提高了复合物-蛋白质相互作用预测药物重新用途的准确性.
  • 这种方法可以显著推进药物发现,为各种治疗需求提供解决方案,包括安全的疼痛管理.
  • 语境信息的动态编码是提高预测准确性的关键.