ArticlePharmaceutics2021
Drug Repurposing Using Modularity Clustering in Drug-Drug Similarity Networks Based on Drug-Gene Interactions.
Article in Pharmaceutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Albumin-Based Nanoparticles with Factorial Design as a Promising Approach for Remodeled Repaglinide: Evidence from In Silico, In Vitro, and In Vivo Evaluations.Pharmaceutics · 2025Article
- Drug repositioning pipeline integrating community analysis in drug-drug similarity networks and automated ATC community labeling to foster molecular docking analysis.Frontiers in bioinformatics · 2025Article
- Open MoA: revealing the mechanism of action (MoA) based on network topology and hierarchy.Bioinformatics (Oxford, England) · 2023Article
- Analysis and identification of drug similarity through drug side effects and indications data.BMC medical informatics and decision making · 2023Article
- Guiding Drug Repositioning for Cancers Based on Drug Similarity Networks.International journal of molecular sciences · 2023Article
- DrugSim2DR: systematic prediction of drug functional similarities in the context of specific disease for drug repurposing.GigaScience · 2022Article
- Deconstructing Markush: Improving the R&D Efficiency Using Library Selection in Early Drug Discovery.Pharmaceuticals (Basel, Switzerland) · 2022Article
- Drug Repositioning with GraphSAGE and Clustering Constraints Based on Drug and Disease Networks.Frontiers in pharmacology · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Drug repurposing is a valuable alternative to traditional drug design based on the assumption that medicines have multiple functions. Computer-based techniques use ever-growing drug databases to uncover new drug repurposing hints, which require further validation with in vitro and in vivo experiments. Indeed, such a scientific undertaking can be particularly effective in the case of rare diseases (resources for developing new drugs are scarce) and new diseases such as COVID-19 (designing new drugs require too much time). This paper introduces a new, completely automated computational drug repurposing pipeline based on drug-gene interaction data. We obtained drug-gene interaction data from an earlier version of DrugBank, built a drug-gene interaction network, and projected it as a drug-drug similarity network (DDSN). We then clustered DDSN by optimizing modularity resolution, used the ATC codes distribution within each cluster to identify potential drug repurposing candidates, and verified repurposing hints with the latest DrugBank ATC codes. Finally, using the best modularity resolution found with our method, we applied our pipeline to the latest DrugBank drug-gene interaction data to generate a comprehensive drug repurposing hint list.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.