Exploring common mechanisms of adverse drug reactions and disease phenotypes through network-based analysis

The need for a deeper understanding of adverse drug reaction (ADR) mechanisms is vital for improving drug safety and repurposing. This study introduces Drug Adverse Reaction Mechanism Explainer (DREAMER), a network-based framework that uses a comprehensive knowledge graph to uncover molecular mechanisms underlying ADRs and disease phenotypes. By examining shared phenotypes of drugs and diseases and their effects on protein-protein interaction networks, DREAMER identifies proteins linked to ADR mechanisms. Applied to 649 ADRs, DREAMER identified molecular mechanisms for 67 ADRs, including ventricular arrhythmia and metabolic acidosis, and emphasized pathways like GABAergic signaling and coagulation proteins in personality disorders and intracranial hemorrhage. We further demonstrate the application of DREAMER in drug repurposing and propose sotalol, ranolazine, and diltiazem as candidate drugs to be repurposed for cardiac arrest. In summary, DREAMER effectively detects molecular mechanisms underlying phenotypes, emphasizing the importance of network-based analyses with integrative data for enhancing drug safety and accelerating the discovery of novel therapeutic strategies.

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Publication Details

Journal
Cell Reports Methods
Published
2025-02-01
DOI
https://doi.org/10.1016/j.crmeth.2025.100990
Citations
3
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
4.51

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article

Exploring common mechanisms of adverse drug reactions and disease phenotypes through network-based analysis

Farzaneh Firoozbakht, Joseph Loscalzo, Maria L. Elkjaer, Rui‐Sheng Wang et al.
3 citations
Cell Reports Methods
Computational Drug Discovery Methods
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article

Exploring common mechanisms of adverse drug reactions and disease phenotypes through network-based analysis

Farzaneh Firoozbakht, Joseph Loscalzo, Maria L. Elkjaer, Rui‐Sheng Wang, Diane E. Handy, Olga Tsoy, Jan Baumbach, Zoe Chervontseva, Matthias Rarey
article en
3 citations

Abstract

The need for a deeper understanding of adverse drug reaction (ADR) mechanisms is vital for improving drug safety and repurposing. This study introduces Drug Adverse Reaction Mechanism Explainer (DREAMER), a network-based framework that uses a comprehensive knowledge graph to uncover molecular mechanisms underlying ADRs and disease phenotypes. By examining shared phenotypes of drugs and diseases and their effects on protein-protein interaction networks, DREAMER identifies proteins linked to ADR mechanisms. Applied to 649 ADRs, DREAMER identified molecular mechanisms for 67 ADRs, including ventricular arrhythmia and metabolic acidosis, and emphasized pathways like GABAergic signaling and coagulation proteins in personality disorders and intracranial hemorrhage. We further demonstrate the application of DREAMER in drug repurposing and propose sotalol, ranolazine, and diltiazem as candidate drugs to be repurposed for cardiac arrest. In summary, DREAMER effectively detects molecular mechanisms underlying phenotypes, emphasizing the importance of network-based analyses with integrative data for enhancing drug safety and accelerating the discovery of novel therapeutic strategies.

Cell Reports MethodsVol. 5(2)
Brigham and Women's Hospital (US), Harvard University (US), Universität Hamburg (DE), University of Southern Denmark (DK), Hamburg University of Technology (DE)
American Heart Association, European Commission, Bundesministerium für Bildung und Forschung, Lundbeckfonden, National Institutes of Health, Staatssekretariat für Bildung, Forschung und Innovation
Openalex Percentile: Top 6%
Computational Drug Discovery Methods
4.51
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