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我们引入了一种新的深度图对比学习模型（DeepGCL），用于药物相互作用预测。DeepGCL利用图对比学习将分子结构特征和网络拓扑特征结合起来。
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j, zy创建时间：
2024-04-02
相关数据集
HiKG-DDI: Egyptian drugs to DrugBank mapping (v1.0)
A curated mapping of 13,119 Egyptian drug products to DrugBank active-ingredient IDs, built from two public Egyptian drug datasets (Dawaey, ~13k entries; Egypt-drugs-database, ~26k entries). Each row
Zenodo2026-04-22 更新90
Additional file 3 of Positive-Unlabeled Learning for inferring drug interactions based on heterogeneous attributes
The inferred 5892 DDIs and their probabilities. This is Supplementary Table 2. (XLSX 134 kb)
NIAID Data Ecosystem80
Graph representation generated from an example sentence.
The candidate interaction pair is marked as “drug1” and “drug2”, the other drugs are marked as “drug0”. The shortest path between the drugs is shown in bold. In the dependency based subgraph all nodes
NIAID Data Ecosystem70
Summary of the spatial datasets.
Due to the rapid development of spatial sequencing technologies, large amounts of spatial transcriptomic datasets have been generated across various technological platforms or different biological con
Figshare2025-04-03 更新90
MOESM1 of Detecting drug communities and predicting comprehensive drugâdrug interactions via balance regularized semi-nonnegative matrix factorization
Additional file 1. Predicted results of version-independent test.
NIAID Data Ecosystem80
