相关实验视频
Updated: Jul 8, 2025

12:08
Diagonal Method to Measure Synergy Among Any Number of Drugs
Published on: June 21, 2018
18.6K
一个多任务学习模型,通过分析药物相互作用和集成的多视图图数据来预测药物组合协同作用
Samar Monem1,2, Aboul Ella Hassanien3,4, Alaa H Abdel-Hamid5
1Mathematics and Computer Science Department, Faculty of Science, Beni-Suef University, Beni-Suef, 62521, Egypt. samarmahmoud@science.bsu.edu.eg.
Scientific reports
|December 17, 2023
概括
这项研究介绍了MutliSyn,这是一种多任务深度学习模型,可以预测药物组合协同作用. 它准确地确定协同效应得分和类标签,推动癌症药物发现.
科学领域:
- 计算生物学 计算生物学
- 药物发现 药物发现 药物发现
- 机器学习 机器学习
背景情况:
- 预测药物组合协同作用对于有效的癌症治疗至关重要.
- 当前的方法往往难以同时预测协同成绩和类标签.
研究的目的:
- 开发一个多任务深度学习模型,MutliSyn,用于预测药物组合协同作用.
- 为了同时预测药物对的协同效应得分和协同效应类标签.
主要方法:
- 使用简化分子输入线输入 (SMILE) 进行药物表示和RedKit进行特征提取.
- 纳入了基于图形的药物特征和细胞系表示的基因表达的改进的多视图表示.
- 采用了注意力机制和交叉合算法来整合药物细胞系相互作用和学习任务关系.
主要成果:
- 在协同得分预测方面获得了0.76的皮尔森得分 (MSE: 219.14,RMSE: 14.75).
- 在协同效应类标签预测方面表现出高性能,ROC-AUC为0.95和PR-AUC为0.85.
- 在O'Neil癌症数据集中得到验证,其中包括39个癌症细胞系中的22,737种药物组合.
结论:
- MutliSyn模型有效地预测药物组合协同作用,为癌症药物发现提供了一个有前途的工具.
- 同时预测协同得分和类标签可以提高该模型在治疗应用中的实用性.
相关概念视频
Combined Effects of Drugs: Synergism
3.9K
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...
Such synergistic combinations...
3.9K
Combined Effects of Drugs: Antagonism
8.5K
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...
The most common type is receptor antagonism, where one drug acts as an antagonist to block the effects of another drug by...
8.5K
Agonism and Antagonism: Quantification
377
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...
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...
377
Pharmacokinetic Models: Overview
709
Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
709
Drug-Receptor Interactions
5.2K
Drug-receptor interaction describes the binding of receptors by drugs, but not all drug-receptor interactions result in activation and tissue response. For instance, the binding of agonists activates the receptor to generate a cellular reaction, while antagonists bind to receptors without causing their activation.
Several parameters, such as the drug's affinity for its receptor and its efficacy, which is its ability to activate the receptor, determine the drug's effect on the tissue....
Several parameters, such as the drug's affinity for its receptor and its efficacy, which is its ability to activate the receptor, determine the drug's effect on the tissue....
5.2K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
71
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
71

