DRHIN: An Integrated and Interactive Web Server for Drug Repositioning

Clinical Snapshot

Key Findings

• P Value: Not reported

• Effect Size: Not reported

• Primary Outcome: Development of DRHIN web server platform

• Nnt Or Sensitivity: Platform processes million-scale networks efficiently

Clinical Application

High - web-based platform requires no specialized software installation Relevant for Australian pharmaceutical research institutions and TGA drug development pathways, though clinical validation would be required for regulatory applications Pharmaceutical researchers, clinical investigators, and bioinformaticians working on drug repositioning

Abstract

Drug repositioning (DR) identifies new therapeutic uses for approved drugs, reducing development burdens and offering safer treatment options for patients. While high-throughput technologies generate complex, large-scale multiomics data, existing DR tools struggle to comprehensively analyze the resulting biological networks. To address this challenge, we present DRHIN, an integrated, interactive web server for DR over heterogeneous information networks (HINs) using advanced deep learning techniques. DRHIN integrates transcriptomics, proteomics, and microbiome data, incorporating eight biological entities and 19 association types to build diverse HINs and elucidate the underlying molecular mechanisms. It includes 19 state-of-the-art graph representation algorithms, enabling flexible training, comparison, and evaluation of heterogeneous network data. The platform provides a code-free portal supporting three key predictive tasks: discovering drug-disease associations, repurposing existing drugs for new indications, and identifying potential therapies for specific diseases, making analyses accessible and reproducible. Leveraging high-performance computing, DRHIN efficiently processes million-scale networks, ensuring practical applicability in real-world scenarios. The web server is freely accessible at http://drhin.tianshanzw.cn.