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

7.4K
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...
7.4K
Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

493
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...
493
Preclinical Development: Overview01:28

Preclinical Development: Overview

4.2K
Preclinical development consists of a series of tests that ensure the safety and efficacy of a new therapeutic compound before it is tested in humans. There are four main phases to this process. First, safety pharmacology tests are conducted to ensure the drug does not produce any acutely harmful effects. These tests examine parameters such as bronchoconstriction, cardiac dysrhythmias, blood pressure changes, and ataxia. Next, preliminary toxicological testing is performed to determine the...
4.2K
Drug Administration and Therapy Phases: Overview01:26

Drug Administration and Therapy Phases: Overview

406
Drugs, the chemical agents used in diagnosing, treating, or preventing diseases, undergo a four-phase process of development: pharmaceutic, pharmacokinetics, pharmacodynamics, and therapeutic.
The pharmaceutical phase focuses on leveraging the physicochemical properties of the drug to design and manufacture an effective product. Variants include orally administered tablets or capsules, topical creams or ointments, and parenteral-delivery solutions or emulsions.
The pharmacokinetic phase...
406
Clinical Trials: Overview01:11

Clinical Trials: Overview

2.7K
Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
2.7K
Principles of Drug Action01:24

Principles of Drug Action

5.7K
Drugs are chemical substances that modify biological responses by interacting with macromolecular targets such as receptors, ion channels, transporters, and enzymes. Pharmacodynamics describes the course of action of drugs leading to the physiological effect at a specific site in the body.
Drugs can be agonists or antagonists. Like the endogenous ligands, agonists always bind and activate the target to produce a cellular response. Agonist binding induces a conformational change which in turn...
5.7K

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

Identification of a Potent and Selective Small-Molecule Inhibitor Targeting the nNOS-PDZ Domain that Exhibits Rapid <i>In Vivo</i> Antidepressant Efficacy.

Journal of medicinal chemistry·2026
Same author

ARID1A loss drives gastric signet ring cell carcinoma by regulating mucin production and secretion.

Nature communications·2026
Same author

Pathogenic germline variations and cancer risks in pediatric patients referred for genetic testing.

Nature medicine·2026
Same author

Fragment-Aware Contrastive Learning Framework for Molecular Property Prediction.

Journal of chemical information and modeling·2026
Same author

Advancing AI for multi-omics and clinical data integration in basic and translational cancer research.

Nature reviews. Cancer·2026
Same author

PRET is a few-shot system for pan-cancer recognition without example training.

Nature cancer·2026

相关实验视频

Updated: Jun 1, 2025

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
10:21

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

Published on: February 23, 2024

2.3K

人工智能在药物开发中的作用

Kang Zhang1,2, Xin Yang3, Yifei Wang3

  • 1Eye Hospital and Institute for Advanced Study on Eye Health and Diseases, Institute for clinical Data Science, Wenzhou Medical University, Wenzhou, China. kang.zhang@gmail.com.

Nature medicine
|January 20, 2025
PubMed
概括
此摘要是机器生成的。

人工智能 (AI) 正通过提高效率和有效性来改变药物开发. 这篇概述详细介绍了从目标识别到市场后监测的AI应用,解决当前的挑战和未来的研究.

更多相关视频

In Vitro Three-Dimensional Sprouting Assay of Angiogenesis Using Mouse Embryonic Stem Cells for Vascular Disease Modeling and Drug Testing
08:04

In Vitro Three-Dimensional Sprouting Assay of Angiogenesis Using Mouse Embryonic Stem Cells for Vascular Disease Modeling and Drug Testing

Published on: May 11, 2021

2.8K
Microfluidic Co-Culture Models for Dissecting the Immune Response in in vitro Tumor Microenvironments
07:46

Microfluidic Co-Culture Models for Dissecting the Immune Response in in vitro Tumor Microenvironments

Published on: April 30, 2021

4.6K

相关实验视频

Last Updated: Jun 1, 2025

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
10:21

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

Published on: February 23, 2024

2.3K
In Vitro Three-Dimensional Sprouting Assay of Angiogenesis Using Mouse Embryonic Stem Cells for Vascular Disease Modeling and Drug Testing
08:04

In Vitro Three-Dimensional Sprouting Assay of Angiogenesis Using Mouse Embryonic Stem Cells for Vascular Disease Modeling and Drug Testing

Published on: May 11, 2021

2.8K
Microfluidic Co-Culture Models for Dissecting the Immune Response in in vitro Tumor Microenvironments
07:46

Microfluidic Co-Culture Models for Dissecting the Immune Response in in vitro Tumor Microenvironments

Published on: April 30, 2021

4.6K

科学领域:

  • 药理学和制药科学 药理学和制药科学
  • 计算生物学和生物信息学
  • 人工智能在医学中的应用

背景情况:

  • 传统药物开发是漫长的,昂贵的,并且严重依赖于经验方法.
  • 新兴的人工智能 (AI) 技术,包括大语言模型 (LLM) 和生成AI,提供了变革性的潜力.
  • 人工智能整合已经在提高药物开发效率和有效性.

研究的目的:

  • 提供对药物开发中近期人工智能进展的全面概述.
  • 检查整个药物开发管道的AI应用.
  • 确定人工智能增强药物开发的挑战和未来研究方向.

主要方法:

  • 关于人工智能在药物开发中的应用的最新文献的审查.
  • 在关键阶段对AI整合的分析:目标识别,药物发现,临床前研究,临床试验和市场后监测.
  • 批判性地检查当前的挑战和未来的研究机会.

主要成果:

  • 人工智能显示出在药物发现和开发中提高效率和有效性的巨大潜力.
  • 人工智能应用涵盖了整个工作流程,从最初的目标识别到市场后监测.
  • 人工智能集成已经观察到微妙但有意义的改进.

结论:

  • 人工智能,特别是LLM和生成AI,正在彻底改变药物开发模式.
  • 应对当前的挑战对于释放AI在制药创新的全部潜力至关重要.
  • 未来的研究应该专注于进一步整合和优化人工智能工具,以加速和改进药物开发.