{
  "abstract": "Multitarget drug discovery has gained considerable traction in recent years, particularly for the treatment of complex diseases. Despite the growing demand for dedicated, well-curated resources to advance polypharmacology research and rational multitarget drug discovery, such resources remain severely limited. Here, we present MultiTargetDB, a database of multitarget ligands integrated with comprehensive biological annotations and measurement-level provenance. At the small molecule level, MultiTargetDB integrates chemical structures (including molecular scaffolds), their drug development stages, and target information, whereas at the target level, MultiTargetDB incorporates protein domains and families, functional associations, and pathway–disease annotations. The current release contains 173 977 multitarget molecules, 6496 protein targets, and 474 749 standardized quantitative bioactivity records, complemented by 46 234 high-confidence protein functional associations, 370 pathways from the Kyoto Encyclopedia of Genes and Genomes (KEGG), and 2493 diseases. MultiTargetDB supports multitarget ligand retrieval, target–combination analysis, quantitative activity profiling, inspection of source-level evidence, and biological interpretation of molecule–target–pathway–disease relationships, with a natural-language query assistant facilitating flexible database exploration. The integrated quantitative, pharmacological and biological data further provide a basis for drug-repurposing exploration, computational modeling, and machine-learning applications. MultiTargetDB v1.0 is freely accessible at https://multitargetdb.inflygent.com/.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Pathology, The First Affiliated Hospital of Shantou University Medical College , Shantou 515041 ,",
    "Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University , Beijing 100871 ,",
    "Interdisciplinary Institute for Medical Engineering, Fuzhou University , Fuzhou 350108 ,",
    "Inflygent Pharmaceutical AI Co., Ltd , Beijing 100012 ,",
    "Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University , Beijing 100871 ,",
    "Peking University Chengdu Academy for Advanced Interdisciplinary Biotechnologies , Chengdu, Sichuan 610213 ,",
    "Sirio Pharma Co., Ltd , Shantou 515041 ,"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 11,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Jinmei Pan"
    },
    {
      "affs": [
        1
      ],
      "name": "Haoyu Lin"
    },
    {
      "affs": [
        1
      ],
      "name": "Jintao Zhu"
    },
    {
      "affs": [
        2
      ],
      "name": "Weixin Xie"
    },
    {
      "affs": [
        3
      ],
      "name": "Yu Li"
    },
    {
      "affs": [
        1
      ],
      "name": "Jin Xie"
    },
    {
      "affs": [
        3
      ],
      "name": "Shuaipeng Zhang"
    },
    {
      "affs": [
        0
      ],
      "name": "Liangli Hong"
    },
    {
      "affs": [
        1,
        4,
        5
      ],
      "name": "Luhua Lai",
      "orcid": "0000-0002-8343-7587"
    },
    {
      "affs": [
        1
      ],
      "name": "Jianfeng Pei",
      "orcid": "0000-0002-8482-1185"
    },
    {
      "affs": [
        0,
        6
      ],
      "name": "Geng Dong"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/66mkpjv3srphn.bib",
  "cited_by": 0,
  "doi": "10.1093/nar/gkag1097",
  "fulltext_url": null,
  "id": "66mkpjv3srphn",
  "issns": [
    "0305-1048",
    "1362-4962"
  ],
  "landing_url": "https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkag1097/9005761",
  "language": null,
  "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": [],
  "openalex": null,
  "pdf_url": "https://academic.oup.com/nar/advance-article-pdf/doi/10.1093/nar/gkag1097/72639873/gkag1097.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-31",
  "publisher": "Oxford University Press (OUP)",
  "ris": "https://research.draconitic.com/paper/66mkpjv3srphn.ris",
  "sources": [
    {
      "first_seen": "2026-10-31T12:21:18Z",
      "native_id": "10.1093/nar/gkag1097",
      "source": "crossref",
      "url": "https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkag1097/9005761"
    }
  ],
  "subjects": [
    {
      "field": "biochemistry",
      "origin": "issn:0305-1048",
      "subfield": "molecular-biology"
    }
  ],
  "title": "MultiTargetDB: a comprehensive database of multitarget ligands for polypharmacology research and drug discovery",
  "title_text": "MultiTargetDB: a comprehensive database of multitarget ligands for polypharmacology research and drug discovery",
  "type": "peer-reviewed",
  "updated_at": "2026-11-02T00:21:29Z",
  "url": "https://research.draconitic.com/paper/66mkpjv3srphn",
  "venue": "Nucleic Acids Research",
  "versions": []
}