Drug repositioning is a strategy of repurposing approved drugs for treating new indications,
which can accelerate the drug discovery process, reduce development costs, and lower the …

Drug combinations can reduce drug resistance and side effects and enable the
improvement of disease treatment efficacy. Therefore, how to effectively identify drug‐drug …

Drug repositioning, modeled as a link prediction problem over medical knowledge graphs
(KGs), has great potential in finding new usage or targets for approved medicine with …

Combination therapies have brought significant advancements to the treatment of various
diseases in the medical field. However, searching for effective drug combinations remains a …

[Objective] This paper constructs a cross-platform semantic knowledge graph with whole
datasets, which helps us find novel drug knowledge.[Methods] First, we developed a new …

Drug repositioning/repurposing is a very important approach towards identifying novel
treatments for diseases in drug discovery. Recently, large-scale biological datasets are …

Drug repurposing (DR) based on knowledge graphs (KGs) is challenging, which uses
knowledge graph reasoning models to predict new therapeutic pathways for existing drugs …

Drug repurposing is more relevant than ever due to drug development's rising costs and the
need to respond to emerging diseases quickly. Knowledge graph embedding enables drug …

The current global crisis caused by COVID-19 almost halted normal life in most parts of the
world. Due to the long development cycle for new drugs, drug repositioning becomes an …

Drug repositioning, the identification of novel uses of existing therapies, has become an
attractive strategy to accelerate drug development. Knowledge graphs (KGs) have emerged …