A Multimodal Framework for Improving in Silico Drug Repositioning With the Prior Knowledge From Knowledge Graphs
Drug repositioning/repurposing is a very important approach towards identifying novel
treatments for diseases in drug discovery. Recently, large-scale biological datasets are …
treatments for diseases in drug discovery. Recently, large-scale biological datasets are …
GraphIX: Graph-based In silico XAI (explainable artificial intelligence) for drug repositioning from biopharmaceutical network
A Takagi, M Kamada, E Hamatani, R Kojima… - arXiv preprint arXiv …, 2022 - arxiv.org
Drug repositioning holds great promise because it can reduce the time and cost of new drug
development. While drug repositioning can omit various R&D processes, confirming …
development. While drug repositioning can omit various R&D processes, confirming …
[HTML][HTML] An explainable framework for drug repositioning from disease information network
Exploring efficient and high-accuracy computational drug repositioning methods has
become a popular and attractive topic in drug development. This technology can …
become a popular and attractive topic in drug development. This technology can …
Drugrep-kg: Toward learning a unified latent space for drug repurposing using knowledge graphs
Drug repurposing or repositioning (DR) refers to finding new therapeutic applications for
existing drugs. Current computational DR methods face data representation and negative …
existing drugs. Current computational DR methods face data representation and negative …
Knowledge Graph Convolutional Network with Heuristic Search for Drug Repositioning
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 …
which can accelerate the drug discovery process, reduce development costs, and lower the …
Drug repositioning based on the heterogeneous information fusion graph convolutional network
In silico reuse of old drugs (also known as drug repositioning) to treat common and rare
diseases is increasingly becoming an attractive proposition because it involves the use of de …
diseases is increasingly becoming an attractive proposition because it involves the use of de …
Drug repositioning based on weighted local information augmented graph neural network
Drug repositioning, the strategy of redirecting existing drugs to new therapeutic purposes, is
pivotal in accelerating drug discovery. While many studies have engaged in modeling …
pivotal in accelerating drug discovery. While many studies have engaged in modeling …
The OREGANO knowledge graph for computational drug repurposing
Drug repositioning is a faster and more affordable solution than traditional drug discovery
approaches. From this perspective, computational drug repositioning using knowledge …
approaches. From this perspective, computational drug repositioning using knowledge …
Drug repositioning with GraphSAGE and clustering constraints based on drug and disease networks
The understanding of therapeutic properties is important in drug repositioning and drug
discovery. However, chemical or clinical trials are expensive and inefficient to characterize …
discovery. However, chemical or clinical trials are expensive and inefficient to characterize …
DRGCL: Drug Repositioning via Semantic-enriched Graph Contrastive Learning
Drug repositioning greatly reduces drug development costs and time by discovering new
indications for existing drugs. With the development of technology and large-scale biological …
indications for existing drugs. With the development of technology and large-scale biological …