Data-driven prediction of drug effects and interactions
Open accessAbstract
Two new databases—one of drug effects and a second of drug-drug interaction side effects—permit identification of drug targets, prediction of drug indications, and discovery of drug class interactions.
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A number of publicly available ADE databases exist, constructed from sources including drug labels, electronic health records, research literature, social media, and pharmacovigilance programs.
“A number of publicly available ADE databases exist, which have been constructed by extracting, stratifying or detecting signals from a variety of sources, including drug labels, electronic health records, research literature, social media, and adverse event reporting pharmacovigilance programs7–11.”
From OnSIDES database: Extracting adverse drug events from drug labels using natural language processing models (2025) · cites this paper as [7]
The Materials and Methods ‘Data source’ section describes SIDER as mined from drug labels and identifies FDA and Canadian adverse-event reporting databases. The paper also makes its own ADE databases publicly available, but it does not describe databases constructed from research literature or social media; it uses electronic medical records to validate findings, not as a source for those databases. Page numbers are unavailable in our copy. (LLM, conf=0.87)
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- Authors
- Tatonetti, N. P., Ye, P. P., Daneshjou, R., & Altman, R. B.
- Affiliations
- Stanford University (US)
- Corresponding author
- Altman, Russ B.
- Venue
- Science Translational Medicine
- Published
- 2012-03-14
- Volume
- 4
- Issue
- 125
- Pages
- 125ra31-125ra31
- ISSN
- 1946-6234 (ISSN-L)
- 1946-6242
- PMC
- PMC3382018
- OpenAlex
- W2119002393
- Cited by
- 936
- References
- 35
- Citations by year
- 2026: 85 · 2025: 114 · 2024: 81 · 2023: 92 · 2022: 87 · 2021: 83 · 2020: 74 · 2019: 53 · 2018: 59 · 2017: 33 · 2016: 46 · 2015: 50 · 2014: 39 · 2013: 26 · 2012: 12
- FWCI
- 57.20
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science Translational Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Howard Hughes Medical Institute
- National Institutes of Health (UL1TR001085, TL1TR001084, 5p50mh094267-05)
- National Institute of Mental Health (P50-MH094267)
- National Institute of General Medical Sciences (R24GM061374, R24-GM61374)
- U.S. National Library of Medicine (LM05652, LM007033, R01LM005652, T15LM007033)
- National Center for Research Resources (UL1RR025744, TL1RR025742, RR025742)
- National Center for Advancing Translational Sciences
- Topics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Toxicology › Pharmacovigilance and Adverse Drug Reactions
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Health Sciences › Medicine › Geriatrics and Gerontology › Pharmaceutical Practices and Patient Outcomes
- Keywords
- adverse drug reactions, drug-drug interactions, spontaneous adverse event reporting, confounding adjustment, signal detection, drug target identification, selective serotonin reuptake inhibitors, thiazide diuretics, QT prolongation, electronic health records
- MeSH terms
- Drug Interactions, Product Surveillance, Postmarketing, Adverse Drug Reaction Reporting Systems, Drug-Related Side Effects and Adverse Reactions
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