Drug repositioning (DR) is crucial for identifying new disease indications for existing drugs
and enhancing their clinical utility. Despite the effectiveness of various artificial intelligence …

Abstract Circular RNA (CircRNA)–microRNA (miRNA) interaction (CMI) is an important
model for the regulation of biological processes by non-coding RNA (ncRNA), which …

Drug repositioning has emerged as a promising strategy for identifying new therapeutic
applications for existing drugs. In this study, we present DRGBCN, a novel computational …

Background Drug-target interaction (DTI) prediction has become a crucial prerequisite in
drug design and drug discovery. However, the traditional biological experiment is time …

Background More and more studies show that miRNA plays a crucial role in plants'
response to different abiotic stresses. However, traditional experimental methods are often …

The prediction of drug-target interactions (DTIs) has emerged as a vital step in drug
discovery. Recently, biomedical knowledge graph enables the utilization of multi-omics …

Identifying circRNA-miRNA associations is critical for understanding gene regulatory
mechanisms, discovering new biomarkers, and developing therapeutic strategies. The …

The drug discovery process is demanding and time-consuming, and machine learning-
based research is increasingly proposed to enhance efficiency. A significant challenge in …

Many powerful computational methods based on graph neural networks (GNNs) have been
proposed to predict drug-protein interactions (DPIs). It can effectively reduce laboratory …

Precisely predicting drug-protein interactions (DPIs) is pivotal for drug discovery and
advancing precision medicine. A significant challenge in this domain is the high …