{
  "abstract": "Spontaneous adverse event (AE) reporting systems enable large-scale pharmacovigilance but are typically analyzed as isolated drug–event pairs. Here, we constructed a drug-drug similarity network at an ingredient-level, using 968,966 reports from the Korea Adverse Event Reporting System (KAERS; 2020–2024). After preprocessing, 382,530 reports involving 1,058 ingredients and 3,749 AE events in MedDRA preferred terms (PTs) were retained. Significant ingredient–event signals were identified using proportional reporting ratio, reporting odds ratio, χ², and information component. Pairwise similarity between ingredients was quantified using a hypergeometric test based on shared significant PTs with a false discovery rate ingredients and 1,111 PTs, resulting in a network of 150 ingredients and 1,267 edges. Community detection revealed modules that recapitulated known pharmacological classes, including antineoplastic agents and contrast media, and exhibited clinically coherent safety profiles. Notably, cross-class clustering, including statins with anti-infective and anti-inflammatory agents, suggested shared downstream biological effects beyond primary indications. These findings demonstrate that a signal-based drug similarity network derived from spontaneously reported data can capture clinically meaningful safety patterns and reveal latent relationships across therapeutic classes, thereby providing a scalable approach to pharmacovigilance and hypothesis generation.",
  "abstract_shown": true,
  "affiliations": [
    "College of Pharmacy and Research Institute for Drug Development, Pusan National University Busan 46241 Korea",
    "Graduate School of Data Science, Pusan National University Busan 46241 Korea",
    "Biomedical Research Institute, Pusan National University Hospital Busan 49241 Korea"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 6,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Seongjae Park"
    },
    {
      "affs": [
        1
      ],
      "name": "SeongJin Wi"
    },
    {
      "affs": [
        0
      ],
      "name": "Heeseon Jo"
    },
    {
      "affs": [
        0
      ],
      "name": "Yuseong Kwon"
    },
    {
      "affs": [
        0,
        1,
        2
      ],
      "name": "Nakyung Jeon"
    },
    {
      "affs": [
        0
      ],
      "name": "Haeseung Lee"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/bfrp344xskb52.bib",
  "cited_by": 0,
  "doi": "10.4196/kjpp.26.080",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13728251/",
  "id": "bfrp344xskb52",
  "issns": [
    "1226-4512",
    "2093-3827"
  ],
  "landing_url": "https://doi.org/10.4196/kjpp.26.080",
  "language": "en",
  "licence": "CC-BY-NC-4.0",
  "licence_label": "CC BY-NC 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Original Article"
    ],
    [
      "openalex",
      "3005|Pharmacovigilance and Adverse Drug Reactions"
    ]
  ],
  "openalex": "W7160492454",
  "pdf_url": "https://www.kjpp.net/journal/download_pdf.php?doi=10.4196/kjpp.26.080",
  "pmcid": "PMC13728251",
  "pmid": "42093130",
  "published": "2026-11-01",
  "publisher": "Korean Physiological Society and Korean Society of Pharmacology",
  "ris": "https://research.draconitic.com/paper/bfrp344xskb52.ris",
  "sources": [
    {
      "first_seen": "2026-11-06T12:23:58Z",
      "native_id": "PMC13728251",
      "source": "pmc",
      "url": "https://doi.org/10.4196/kjpp.26.080"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:3005|Pharmacovigilance and Adverse Drug Reactions",
      "subfield": "pharmacology-toxicology"
    }
  ],
  "title": "Similarity-based profiling of pharmacovigilance data for drug safety pattern discovery",
  "title_text": "Similarity-based profiling of pharmacovigilance data for drug safety pattern discovery",
  "type": "peer-reviewed",
  "updated_at": "2026-11-07T12:21:16Z",
  "url": "https://research.draconitic.com/paper/bfrp344xskb52",
  "venue": "The Korean Journal of Physiology & Pharmacology : Official Journal of the Korean Physiological Society and the Korean Society of Pharmacology",
  "versions": []
}