{
  "abstract": "ToxPipe is a modular, fully open-source software stack designed to accelerate toxicological data analysis and decision-making by integrating large language model (LLM) capabilities with workflow, monitoring, and user-interface services. ToxPipe leverages existing open-source technologies like LibreChat, LiteLLM, and Langflow to provide centralized and streamlined access to different LLMs for end users and developers and logging and auditing of LLM use for organizations. ToxPipe also allows for open-source/local model support. While the ToxPipe ecosystem also supports advanced AI functions such as MCP server integration, RAG and literature search, and agent creation, we did not observe clear benefits using these configurations relative to the GPT-5.5 baseline assertion coverage scores. ToxPipe is available as a series of Docker containers for rapid and reproducible deployment.",
  "abstract_shown": true,
  "affiliations": [
    "Predictive Toxicology Branch (PTB), National Institute of Environmental Health Science (NIEHS), National Institutes of Health (NIH), Durham, NC, United States",
    "Axle Informatics, North Bethesda, MD, United States",
    "Dynanet Corporation, Elkridge, MD, United States",
    "Office of Data Science (ODS), NIEHS, NIH, Durham, NC, United States",
    "22nd Century Technologies, McLean, VA, United States",
    "GAP Solutions, Herndon, VA, United States"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 12,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Parker K. Combs"
    },
    {
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        1
      ],
      "name": "Parker K. Combs"
    },
    {
      "affs": [
        0
      ],
      "name": "Trey O. Saddler"
    },
    {
      "affs": [
        2
      ],
      "name": "Trey O. Saddler"
    },
    {
      "affs": [
        3
      ],
      "name": "Amlan Talukder"
    },
    {
      "affs": [
        4
      ],
      "name": "Amlan Talukder"
    },
    {
      "affs": [
        0
      ],
      "name": "Jonathon F. Fleming"
    },
    {
      "affs": [
        5
      ],
      "name": "Jonathon F. Fleming"
    },
    {
      "affs": [
        0
      ],
      "name": "Jeremy N. Erickson"
    },
    {
      "affs": [
        0
      ],
      "name": "David M. Reif"
    },
    {
      "affs": [
        3
      ],
      "name": "Charles P. Schmitt"
    },
    {
      "affs": [
        0
      ],
      "name": "Scott S. Auerbach"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/dgntxnrzswece.bib",
  "cited_by": 0,
  "doi": "10.3389/ftox.2026.1907845",
  "fulltext_url": "https://www.frontiersin.org/articles/10.3389/ftox.2026.1907845/full",
  "id": "dgntxnrzswece",
  "issns": [
    "2673-3080"
  ],
  "landing_url": "https://doi.org/10.3389/ftox.2026.1907845",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "lcc",
      "RA1190-1270"
    ],
    [
      "openalex",
      "1802|Scientific Computing and Data Management"
    ]
  ],
  "openalex": "W7223201758",
  "pdf_url": "https://www.frontiersin.org/journals/toxicology/articles/10.3389/ftox.2026.1907845/pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-23",
  "publisher": "Frontiers Media S.A.",
  "ris": "https://research.draconitic.com/paper/dgntxnrzswece.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T13:43:05Z",
      "native_id": "8bc6df849acd4cabb7359e8100eeffbd",
      "source": "doaj",
      "url": "https://doi.org/10.3389/ftox.2026.1907845"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "lcc:RA1190-1270",
      "subfield": "pharmacology-toxicology"
    }
  ],
  "title": "ToxPipe: integrating AI into toxicoinformatics",
  "title_text": "ToxPipe: integrating AI into toxicoinformatics",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T13:43:05Z",
  "url": "https://research.draconitic.com/paper/dgntxnrzswece",
  "venue": "Frontiers in Toxicology",
  "versions": []
}