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

Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

4.8K
Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
4.8K
Combined Effects of Drugs: Synergism01:27

Combined Effects of Drugs: Synergism

3.7K
Synergism is a useful mechanism where combining two or more drugs is more effective than each constituent used alone. Such combinations are also called supra-additive interactions. The drugs collectively enhance the final therapeutic effect by acting on different targets. Another advantage is that the low dose of each constituent drug is sufficient to achieve the desired effect. This helps reduce the duration of therapy and lower the adverse effects of these drugs.
Such synergistic combinations...
3.7K
Cancer Therapies02:49

Cancer Therapies

7.5K
Cancer therapies are various modes of treatment, such as surgery, radiation therapy, and chemotherapy that are administered to cancer patients.
However, cancer treatments can pose several challenges, as therapies used to kill cancer cells are generally also toxic to normal cells. Moreover, cancer cells mutate rapidly and can develop resistance to chemical agents or radiation therapy. Besides, all types of cancer cells may not respond to the same therapy. Some cancer cells respond to one...
7.5K
Targeted Cancer Therapies02:57

Targeted Cancer Therapies

7.4K
The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
There are several types of targeted therapies against...
7.4K
Combined Effects of Drugs: Antagonism01:30

Combined Effects of Drugs: Antagonism

8.2K
The combined effects of drugs can result in various interactions, of which an important type is antagonism. Antagonism is a mechanism where one drug inhibits or counteracts the effects of another drug. Antagonism can occur through various means, including receptor binding, allosteric modulation, functional interaction, chemical reactions, and pharmacokinetic processes.
The most common type is receptor antagonism, where one drug acts as an antagonist to block the effects of another drug by...
8.2K
Agonism and Antagonism: Quantification01:14

Agonism and Antagonism: Quantification

298
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.
To quantify these effects, researchers use a dose-response curve, which provides valuable information about the potency and efficacy of a drug. Potency refers to...
298

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

A general strategy for access intrinsically antioxidant polyolefins.

Nature communications·2026
Same author

Metabolomic and lifestyle profiles refine BMI-metabolic phenotypes in older adults.

Cell reports. Medicine·2026
Same author

FCGR2B drives immunosuppressive M2 polarization of tumor-associated macrophages via metabolic reprogramming of fatty acid oxidation.

Cell cycle (Georgetown, Tex.)·2026
Same author

Retracted: Modeled Behavioral Evaluation of the Neuropathic Pain With Social Defect in Rats: A Preliminary Methodology Evaluation.

Medical science monitor basic research·2026
Same author

Interpretable modality-aware mapping of gene regulation in single-cell multiomics with scMAGCA.

Nature communications·2026
Same author

Bridging sequence-structure motifs and genetic variants for genome-wide dynamic RNA-protein interaction profiling.

Nature communications·2026

相关实验视频

Updated: May 24, 2025

Potentiation of Anticancer Antibody Efficacy by Antineoplastic Drugs: Detection of Antibody-drug Synergism Using the Combination Index Equation
15:04

Potentiation of Anticancer Antibody Efficacy by Antineoplastic Drugs: Detection of Antibody-drug Synergism Using the Combination Index Equation

Published on: January 19, 2019

12.1K

合成抗癌药物组合与双视图超图表达的融合.

Jixiang Yu, Nanjun Chen, Linlin Cao

    IEEE journal of biomedical and health informatics
    |March 3, 2025
    PubMed
    概括

    一个新的深度学习模型,DVHSyn,通过分析分子和细胞数据,有效地识别癌症治疗的协同药物组合. 这种方法克服了传统方法的局限性,为开发新药和改进治疗策略铺平了道路.

    科学领域:

    • 计算生物学是一种计算生物学.
    • 药物发现 药物发现
    • 生物信息学是一种生物信息学.

    背景情况:

    • 药物组合疗法对于治疗癌症等疾病至关重要,提高疗效和克服耐药性.
    • 鉴定协同药物组合是具有挑战性的,因为庞大的组合空间和现有方法的局限性.
    • 当前的方法往往无法充分利用已知的协同效应组合中的复杂关系.

    研究的目的:

    • 提出一种新的深度学习模型,DVHSyn,用于准确识别协同药物组合.
    • 为了利用双视图超图表达融合,捕捉药物向相互作用的本地和全球背景.
    • 改善协同药物组合的预测,以改善癌症治疗和药物开发.

    主要方法:

    • DVHSyn从癌症细胞系中提取转录组特征,从药物中提取分子结构.
    • 它使用超图模拟协同效应,从超图和扩展异质图视图中学习.
    • 从双重视野中学习到的表征的选择性融合预测了协同作用的药物组合.

    主要成果:

    • 在确定协同作用的药物组合方面,DVHSyn的表现优于现有的六种方法.
    • 实验结果验证了该模型的有效性和预测新型协同药物对的潜力.
    • 一个案例研究证明了DVHSyn在发现新协同组合方面的能力.

    更多相关视频

    A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
    07:40

    A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

    Published on: May 27, 2021

    4.1K
    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

    11.7K

    相关实验视频

    Last Updated: May 24, 2025

    Potentiation of Anticancer Antibody Efficacy by Antineoplastic Drugs: Detection of Antibody-drug Synergism Using the Combination Index Equation
    15:04

    Potentiation of Anticancer Antibody Efficacy by Antineoplastic Drugs: Detection of Antibody-drug Synergism Using the Combination Index Equation

    Published on: January 19, 2019

    12.1K
    A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
    07:40

    A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

    Published on: May 27, 2021

    4.1K
    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

    11.7K

    结论:

    • DVHSyn提供了一种有效的深度学习方法,用于协同药物组合的识别.
    • 该模型为开发新型药物治疗提供了新的见解,特别是在瘤学中.
    • 这种方法增强了协同药物组合的预测,帮助未来的药物发现工作.