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Updated: Jul 3, 2026
08:01
A Web Tool for Generating High Quality Machine-readable Biological Pathways
Published on: February 8, 2017
DRUGPATH: The Drug Gene Pathway Meta-Database.
Rajeev Jaundoo1, Travis J A Craddock2,3
1Department of Biomedical Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada.
International Journal of Molecular Sciences
|May 6, 2020
Summary
Predicting adverse drug reactions is crucial for patient safety and research efficiency. The DRUGPATH meta-database integrates drug, gene, and pathway data to identify potential drug-gene-pathway interactions and adverse events.
Area of Science:
- Pharmacogenomics
- Computational Biology
- Drug Discovery
Background:
- Complex diseases necessitate multi-drug therapies, increasing the risk of adverse drug reactions (ADRs).
- Predicting ADRs *a priori* can enhance patient quality of life and reduce research costs.
Purpose of the Study:
- To develop the drug-gene-pathway (DRUGPATH) meta-database for mapping drug, gene, and pathway interactions.
- To facilitate the identification of potential adverse drug events through comprehensive data integration.
Main Methods:
- Integrated expert-curated data from PharmGKB, DrugBank, and FDA's NDC database.
- Mapped known and identified novel drug-gene, gene-pathway, and drug-pathway interactions.
Main Results:
- The DRUGPATH database contains 12,940 drugs, 3933 pathways, 5185 targets, and 3662 genes.
- Encompasses 59,561 drug-gene interactions, 77,808 gene-pathway interactions, and over 1 million drug-pathway interactions.
Conclusions:
- DRUGPATH provides a valuable resource for understanding complex drug interactions.
- The meta-database aids in predicting potential adverse drug reactions and optimizing pharmaceutical research.
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