ArticlePloS one2021
A landscape for drug-target interactions based on network analysis.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 25 citations in OpenAlex.
- Systems biology-based drug repurposing for neuroinflammation treatment in activated human microglia.Scientific reports · 2026Article
- Network analysis of antiseizure medication use, efficacy, and safety in epilepsy: A retrospective cohort study in a tertiary care center.Epilepsy & behavior reports · 2025Article
- MarkerPredict: predicting clinically relevant predictive biomarkers with machine learning.NPJ systems biology and applications · 2025Article
- DDI-AttendNet: cross attention with structured graph learning for inter-drug connectivity analysis.Frontiers in pharmacology · 2025Article
- Prioritizing FDA approved therapeutics for treating sepsis phenotypes: A network modeling approach based on neutrophil proteomics.Frontiers in immunology · 2025Article
- The Dawn till Dusk of phytopharmaceuticals.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024Review
- Loureirin B improves H/R-induced hepatic ischemia-reperfusion injury by downregulating ALOX5 to regulate mitochondrial homeostasis.Naunyn-Schmiedeberg's archives of pharmacology · 2024Article
- A Machine Learning Algorithm Suggests Repurposing Opportunities for Targeting Selected GPCRs.International journal of molecular sciences · 2024Article
- Machine learning hypothesis-generation for patient stratification and target discovery in rare disease: our experience with Open Science in ALS.Frontiers in computational neuroscience · 2023Article
- Article
- Drug-Disease Severity and Target-Disease Severity Interaction Networks in COVID-19 Patients.Pharmaceutics · 2022Article
- BETA: a comprehensive benchmark for computational drug-target prediction.Briefings in bioinformatics · 2022Article
- Network pharmacology reveals multitarget mechanism of action of drugs to be repurposed for COVID-19.Frontiers in pharmacology · 2022Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this work, we performed an analysis of the networks of interactions between drugs and their targets to assess how connected the compounds are. For our purpose, the interactions were downloaded from the DrugBank database, and we considered all drugs approved by the FDA. Based on topological analysis of this interaction network, we obtained information on degree, clustering coefficient, connected components, and centrality of these interactions. We identified that this drug-target interaction network cannot be divided into two disjoint and independent sets, i.e., it is not bipartite. In addition, the connectivity or associations between every pair of nodes identified that the drug-target network is constituted of 165 connected components, where one giant component contains 4376 interactions that represent 89.99% of all the elements. In this regard, the histamine H1 receptor, which belongs to the family of rhodopsin-like G-protein-coupled receptors and is activated by the biogenic amine histamine, was found to be the most important node in the centrality of input-degrees. In the case of centrality of output-degrees, fostamatinib was found to be the most important node, as this drug interacts with 300 different targets, including arachidonate 5-lipoxygenase or ALOX5, expressed on cells primarily involved in regulation of immune responses. The top 10 hubs interacted with 33% of the target genes. Fostamatinib stands out because it is used for the treatment of chronic immune thrombocytopenia in adults. Finally, 187 highly connected sets of nodes, structured in communities, were also identified. Indeed, the largest communities have more than 400 elements and are related to metabolic diseases, psychiatric disorders and cancer. Our results demonstrate the possibilities to explore these compounds and their targets to improve drug repositioning and contend against emergent diseases.
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