{
  "abstract": "Background: Microorganisms play a pivotal role in health and disease, yet microbial research is hindered by fragmented data, heterogeneous knowledge representation, and a lack of integrated analytical tools. Existing databases and knowledge graphs often focus narrowly on genomic information, leaving critical metabolomic and literature-based associations underdeveloped.\n\nResults: We developed the Intelligent Microbial Application Platform (IMicAP), an AI-driven, open-access web platform that integrates 12 microbial databases and over 35 million articles. IMicAP delivers 5 core modules: (1) Knowledge Query module for rapid data retrieval; (2) Knowledge Graph module for multi-hop reasoning and hypothesis generation; (3) Intelligent Question-Answering module for professional natural language dialogue in the field of microbiology; (4) Genome Browser module for genomic visualization; and (5) 16S rRNA Sequencing Analysis module for zero-code microbial bioinformatics analysis. Using curated microbe-disease and microbe-small molecule relations extracted with biomedical language models, IMicAP enables context-aware exploration of microbial relations.\n\nConclusion: IMicAP (available at: https://www.imicap.com:8443 ) is the first comprehensive, open-access, AI-powered microbial platform designed to bridge the gap between fragmented microbial data and actionable biological insights. It directly addresses 4 key limitations in existing resources: (1) Fragmented analysis without integrated workflows; (2) Narrow disease scope covering only one or two disease types; (3) Incomplete knowledge from restricted data sources; and (4) neglect of metabolomic information. IMicAP serves as a versatile resource for advancing microbiome research and translational discoveries. Future development focus on expanding microbial coverage, enhancing reasoning scalability, and evolving toward a dual knowledge-and-data-driven architecture to further support mechanistic discovery in microbial systems biology.",
  "abstract_shown": true,
  "affiliations": [
    "Intelligence Medicine Institute, Fudan University , ,",
    "Shanghai Lishan Biotech Co., Ltd. , ,",
    "Center for Gut Microbiome, Metabolism and Immunity, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University , ,",
    "Avon Old Farms School , , ,"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 7,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Chaoyu Zhu"
    },
    {
      "affs": [
        1
      ],
      "name": "Xing Wang"
    },
    {
      "affs": [
        2
      ],
      "name": "Lihui Feng"
    },
    {
      "affs": [
        3
      ],
      "name": "Mingzhang Xu"
    },
    {
      "affs": [
        1
      ],
      "name": "Zhengkun Huang"
    },
    {
      "affs": [
        0
      ],
      "name": "Weijie Chen"
    },
    {
      "affs": [
        0
      ],
      "name": "Lei Liu"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/5nt2e26c915b3.bib",
  "cited_by": 0,
  "doi": "10.3389/fmicb.2026.1955928",
  "fulltext_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13668525/?tool=EBI",
  "id": "5nt2e26c915b3",
  "issns": [
    "1664-302X"
  ],
  "landing_url": "https://europepmc.org/article/PMC/PMC13668525",
  "language": "eng",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "1312|Biomedical Text Mining and Ontologies"
    ]
  ],
  "openalex": "W7215128254",
  "pdf_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13668525/pdf/?tool=EBI",
  "pmcid": "PMC13668525",
  "pmid": null,
  "published": "2026-10-01",
  "publisher": "Frontiers Media SA",
  "ris": "https://research.draconitic.com/paper/5nt2e26c915b3.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:18:18Z",
      "native_id": "PMC:PMC13668525",
      "source": "europepmc",
      "url": "https://europepmc.org/article/PMC/PMC13668525"
    },
    {
      "first_seen": "2026-10-30T12:19:12Z",
      "native_id": "10.3389/fmicb.2026.1955928",
      "source": "crossref",
      "url": "https://www.frontiersin.org/articles/10.3389/fmicb.2026.1955928/full"
    }
  ],
  "subjects": [
    {
      "field": "biochemistry",
      "origin": "openalex:1312|Biomedical Text Mining and Ontologies",
      "subfield": "molecular-biology"
    }
  ],
  "title": "IMicAP: an intelligent microbial application platform for knowledge-driven microbiome research",
  "title_text": "IMicAP: an intelligent microbial application platform for knowledge-driven microbiome research",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:19:12Z",
  "url": "https://research.draconitic.com/paper/5nt2e26c915b3",
  "venue": "Frontiers in microbiology",
  "versions": []
}