Predicting Drug Synergy through Drug-Associated Pathways Using Deep Learning

NIAID Data Ecosystem2026-03-13 收录

药物协同预测

药物通路分析

数据链接：

https://zenodo.org/record/4716626 数据链接链接失效反馈

官方服务：

资源简介：

example input dataset for one cross-validation run

创建时间：

2022-08-22

Top 10 score drug combinations.

药物协同预测

心绞痛治疗

Over the years, synergistic drug combinations therapies have attracted widespread attention due to its advantages of overcoming drug resistance, increasing treatment efficacy and decreasing toxicity.

Figshare2025-02-06 更新40

The detailed information of existing methods.

药物协同预测

药物发现

Accurate prediction of synergistic effects of drug combinations can reduce the experimental costs for drug development and facilitate the discovery of novel efficacious combination therapies for clini

Figshare2023-03-03 更新30

The synergy score regression performances on the O’Neil dataset, in terms of mean and standard deviation.

药物协同预测

回归任务

The synergy score regression performances on the O’Neil dataset, in terms of mean and standard deviation.

NIAID Data Ecosystem30

HypergraphSynergy

药物协同预测

动机药物组合在治疗癌症方面具有较小的毒性和较少的不良反应。然而，由于组合爆炸，协同药物组合的体外筛选既耗时又费力。尽管已经开发了许多用于预测协同药物组合的计算方法，但是药物协同数据中存在的药物组合与细胞系之间的多向关系尚未得到很好的利用。结果我们提出了一种用于预测抗癌药物协同作用的多向关系增强超图表示学习方法，称为超图协同作用。HypergraphSynergy在癌细胞系上制定协同药物组合作为超图

OpenXLab40

Best Fit Drug Response Parameters.

药物协同预测

放化疗优化

Cancer chemotherapy combines multiple drugs, but predicting the effects of drug combinations on cancer cell proliferation remains challenging, even for simple in vitro systems. We hypothesized that by

Figshare2023-05-01 更新30

Predicting Drug Synergy through Drug-Associated Pathways Using Deep Learning

资源简介：

相关数据集