ArticleMolecular bioSystems2016
Illuminating drug action by network integration of disease genes: a case study of myocardial infarction.
Article in Molecular bioSystems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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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
11 citing papers in PubMed.
- A directed weighted network-based method for drug combinations identification using drug-target and inter-target regulation.BMC bioinformatics · 2025Article
- Machine learning-based integration of network features and chemical structure of compounds for SARS-CoV-2 drug effect analysis.CPT: pharmacometrics & systems pharmacology · 2024Article
- Repurposing Drugs for the Treatment of COVID-19 and Its Cardiovascular Manifestations.Circulation research · 2023Review
- Network medicine in Cardiovascular Research.Cardiovascular research · 2021Review
- Therapeutic implications of statins in heart failure with reduced ejection fraction and heart failure with preserved ejection fraction: a review of current literature.F1000Research · 2021Review
- Cardioprotective mechanisms of salvianic acid A sodium in rats with myocardial infarction based on proteome and transcriptome analysis.Acta pharmacologica Sinica · 2019Article
- Network Medicine in Pathobiology.The American journal of pathology · 2019Review
- Network-based approach to prediction and population-based validation of in silico drug repurposing.Nature communications · 2018Article
- Emerging Role of Precision Medicine in Cardiovascular Disease.Circulation research · 2018Review
- Automated data-adaptive analytics for electronic healthcare data to study causal treatment effects.Clinical epidemiology · 2018Review
- Systems biology: An emerging strategy for discovering novel pathogenetic mechanisms that promote cardiovascular disease.Global cardiology science & practice · 2016Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Drug discovery has produced many successful therapeutic agents; however, most of these drugs were developed without a deep understanding of the system-wide mechanisms of action responsible for their indications. Gene-disease associations produced by molecular and genetic studies of complex diseases provide great opportunities for a system-level understanding of drug activity. In this study, we focused on acute myocardial infarction (MI) and conducted an integrative network analysis to illuminate drug actions. We integrated MI drugs, MI drug interactors, drug targets, and MI disease genes into the human interactome and showed that MI drug targets are significantly proximate to MI disease proteins. We then constructed a bipartite network of MI-related drug targets and MI disease proteins and derived 12 drug-target-disease (DTD) modules. We assessed the biological relevance of these modules and demonstrated the benefits of incorporating disease genes. The results indicate that DTD modules provide insights into the mechanisms of action of MI drugs and the cardiovascular (side) effects of non-MI drugs.
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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.