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 …
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 …
[HTML][HTML] Graph neural networks-based prediction of drug gene association of P2X receptors in periodontal pain
The P2X7 receptor, a member of the P2X receptor family, plays a crucial role in various
physiological processes, particularly pain perception. Its expression across immune …
physiological processes, particularly pain perception. Its expression across immune …
DAS-DDI: A dual-view framework with drug association and drug structure for drug-drug interaction prediction
D Niu, L Zhang, B Zhang, Q Zhang, Z Li - Journal of Biomedical Informatics, 2024 - Elsevier
In drug development and clinical application, drug-drug interaction (DDI) prediction is crucial
for patient safety and therapeutic efficacy. However, traditional methods for DDI prediction …
for patient safety and therapeutic efficacy. However, traditional methods for DDI prediction …
Application of artificial intelligence and machine learning in drug repurposing.
SK Ghandikota, AG Jegga - Progress in Molecular Biology and …, 2024 - europepmc.org
The purpose of drug repurposing is to leverage previously approved drugs for a particular
disease indication and apply them to another disease. It can be seen as a faster and more …
disease indication and apply them to another disease. It can be seen as a faster and more …
A Review: Drug Discovery Methods Based on Artificial Intelligence
J Chen - Science and Technology of Engineering, Chemistry …, 2024 - deanfrancispress.com
The discovery of drugs is recognized as a lengthy, highly costly, and extremely complex
process. For example, some traditional drug discovery methods consist of millions of trials to …
process. For example, some traditional drug discovery methods consist of millions of trials to …
Herb-Target Prediction Via Neural Inductive Matrix Completion with Heterogeneous Graph Network
S Zhang, X Sun, K Hu, T Yang - Available at SSRN 4725133 - papers.ssrn.com
Identifying targets of herbs is important for investigating the pharmacological mechanisms of
herbs in Chinese Medicine (CM). However, chemical or clinical trials are expensive and …
herbs in Chinese Medicine (CM). However, chemical or clinical trials are expensive and …