ArticleScientific reports2016
Clustering drug-drug interaction networks with energy model layouts: community analysis and drug repurposing.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- The Complexity of Drug Development: Translational Value and Limitations of Computational ADMET Assays Applied to Approved Anticancer Drugs.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Beyond the Very Important Pharmacogenes (VIPs): Uncovering Shadow Pharmacogenes in the Human Drug Response Network.ACS omega · 2026Article
- A comprehensive review of cluster methods for drug-drug interaction network.Quantitative biology (Beijing, China) · 2026Review
- Redefining Breast Cancer Care by Harnessing Computational Drug Repositioning.Medicina (Kaunas, Lithuania) · 2025Review
- 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
- Knowledge Graphs for drug repurposing: a review of databases and methods.Briefings in bioinformatics · 2024Review
- Review
- The curse and blessing of abundance-the evolution of drug interaction databases and their impact on drug network analysis.GigaScience · 2022Article
- Detecting overlapping communities in complex networks using non-cooperative games.Scientific reports · 2022Article
- Drug Repurposing in Cancer Therapy: Influence of Patient's Genetic Background in Breast Cancer Treatment.International journal of molecular sciences · 2022Review
- Drug Repurposing Using Modularity Clustering in Drug-Drug Similarity Networks Based on Drug-Gene Interactions.Pharmaceutics · 2021Article
- 3D-ALMOND-QSAR Models to Predict the Antidepressant Effect of Some Natural Compounds.Pharmaceutics · 2021Article
- Topological network measures for drug repositioning.Briefings in bioinformatics · 2021Article
- Analyzing Neck Circumference as an Indicator of CPAP Treatment Response in Obstructive Sleep Apnea with Network Medicine.Diagnostics (Basel, Switzerland) · 2021Article
- Gender Phenotyping of Patients with Obstructive Sleep Apnea Syndrome Using a Network Science Approach.Journal of clinical medicine · 2020Article
- Uncovering New Drug Properties in Target-Based Drug-Drug Similarity Networks.Pharmaceutics · 2020Article
- Pharmacogenomic network analysis of the gene-drug interaction landscape underlying drug disposition.Computational and structural biotechnology journal · 2020Article
- Ollivier-Ricci Curvature-Based Method to Community Detection in Complex Networks.Scientific reports · 2019Article
- MicroRNAs mediate liver transcriptome changes upon soy diet intervention in mice.Journal of cellular and molecular medicine · 2019Article
- Taming the Unknown Unknowns in Complex Systems: Challenges and Opportunities for Modeling, Analysis and Control of Complex (Biological) Collectives.Frontiers in physiology · 2019Article
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Authors and funding
7 authors.
Funding
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Abstract
Analyzing drug-drug interactions may unravel previously unknown drug action patterns, leading to the development of new drug discovery tools. We present a new approach to analyzing drug-drug interaction networks, based on clustering and topological community detection techniques that are specific to complex network science. Our methodology uncovers functional drug categories along with the intricate relationships between them. Using modularity-based and energy-model layout community detection algorithms, we link the network clusters to 9 relevant pharmacological properties. Out of the 1141 drugs from the DrugBank 4.1 database, our extensive literature survey and cross-checking with other databases such as Drugs.com, RxList, and DrugBank 4.3 confirm the predicted properties for 85% of the drugs. As such, we argue that network analysis offers a high-level grasp on a wide area of pharmacological aspects, indicating possible unaccounted interactions and missing pharmacological properties that can lead to drug repositioning for the 15% drugs which seem to be inconsistent with the predicted property. Also, by using network centralities, we can rank drugs according to their interaction potential for both simple and complex multi-pathology therapies. Moreover, our clustering approach can be extended for applications such as analyzing drug-target interactions or phenotyping patients in personalized medicine applications.
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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.