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Related Concept Videos

Pharmacovigilance01:19

Pharmacovigilance

Post-marketing surveillance is a critical component of pharmaceutical regulation, often uncovering unanticipated adverse drug reactions (ADRs) once a drug is widely used over an extended period.
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
Drug Toxicity: Overview01:00

Drug Toxicity: Overview

Drug toxicity quantifies the harm a compound causes to an organism, varying by dose and potentially impacting whole systems or specific organs like the liver. Toxic reactions may arise from venomous insect or spider bites, with effects ranging from mild symptoms to severe outcomes such as brain damage or death. Common forms of acute poisoning include ethanol intoxication and overdose of pain or fever medications, with substances like GHB and heroin being particularly lethal at doses close to...
Drug Toxicity: Risk factors01:24

Drug Toxicity: Risk factors

Adverse Drug Reactions (ADRs) are potential complications that arise during pharmacotherapy, influenced by multiple risk factors. Age plays a significant role; both neonates and the elderly are at heightened risk due to their respective immature and diminished metabolic and elimination processes. Gender also impacts ADRs, with females experiencing a 1.5 to 1.7-fold greater risk than males, which may be linked to pharmacokinetic, pharmacodynamic, and hormonal differences. Notably, neonates, the...
Pharmaceutical Poisoning: Potential Scenarios01:26

Pharmaceutical Poisoning: Potential Scenarios

Pharmaceutical poisoning can occur through various channels, impacting an estimated 2 million hospitalized patients in the U.S. annually with serious adverse drug responses. These scenarios encompass both therapeutic uses, such as drug toxicity, where even standard dosages can lead to severe central nervous system depression, and non-therapeutic exposures, including accidental ingestion by children, and environmental and occupational exposures.Unintentional poisonings often involve exploratory...
Drug toxicity: Idiosyncratic Reactions01:16

Drug toxicity: Idiosyncratic Reactions

Idiosyncratic drug reactions represent abnormal chemical responses that vary significantly among individuals, ranging from extreme sensitivity to low doses to insensitivity to high doses. These reactions often occur due to the drug's covalent binding with serum proteins, forming a foreign hapten that triggers an immunotoxicological response. The variability in drug reactions has a strong pharmacogenetic foundation, with genetic differences crucial in how individuals metabolize drugs. For...
Quantitative Aspects of Drug-Receptor Interaction01:30

Quantitative Aspects of Drug-Receptor Interaction

The receptor occupancy theory connects a drug's response to the number of occupied receptors. With higher drug concentrations, more receptors are occupied, leading to increased responses. The formation of drug-receptor complexes involves association and dissociation rates, which reach equilibrium when the forward and backward reactions are equal. The equilibrium association constant (Ka) and its inverse, the equilibrium dissociation constant (Kd), indicate drug affinity. Higher Ka and lower Kd...

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A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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Published on: October 13, 2023

Integrating Multi-Source Biomedical Data for Adverse Drug Reaction Analysis: A Knowledge Graph Approach.

Kalliopi Kastampolidou1, Pantelis Natsiavas1

  • 1Institute of Applied Biosciences, Centre for Research & Technology Hellas, Thessaloniki, Greece.

Studies in Health Technology and Informatics
|May 23, 2026
PubMed
Summary
This summary is machine-generated.

We created a pipeline to integrate drug data from multiple sources, building knowledge graphs to understand adverse drug reactions. This method successfully linked metformin to its targets, pathways, and side effects, proving its feasibility.

Keywords:
Adverse drug reactionsRDF/OWLdata integrationknowledge graphssemantic web

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Area of Science:

  • Pharmacology
  • Bioinformatics
  • Computational Biology

Background:

  • Understanding adverse drug reactions (ADRs) is complex, requiring integration of diverse data.
  • Existing data sources like DrugBank, Reactome, and SIDER are often siloed.

Purpose of the Study:

  • To develop a computational pipeline for integrating heterogeneous data sources into unified knowledge graphs.
  • To facilitate a deeper understanding of adverse drug reaction mechanisms.

Main Methods:

  • Developed a pipeline to extract drug-target data (DrugBank), biochemical pathways (Reactome), and ADRs (SIDER).
  • Integrated extracted data into Resource Description Framework (RDF)/Web Ontology Language (OWL) knowledge graphs.
  • Applied the pipeline to metformin as a proof-of-concept.

Main Results:

  • The pipeline successfully integrated data from DrugBank, Reactome, and SIDER.
  • The resulting knowledge graph for metformin contained 139 triples, linking the drug to 3 protein targets, 2 biochemical reactions, 2 pathways, and 5 adverse reactions.
  • Demonstrated the technical feasibility of multi-source data integration for ADR studies.

Conclusions:

  • The developed pipeline enables the creation of unified knowledge graphs from heterogeneous drug-related data.
  • This approach is a feasible first step towards automated integration for comprehensive ADR mechanism analysis.
  • Further development will focus on automating the pipeline for broader application.