{
  "abstract": "Here, we present a computational workflow for identifying and analyzing the molecular mechanisms through which environmental pollutants may contribute to human diseases. We describe steps for integrating network toxicology and molecular docking to enable systematic prediction of pollutant-target-disease relationships and structure-based plausibility assessment of molecular interactions. This protocol provides a reproducible and scalable framework applicable to diverse environmental compounds and disease models.",
  "abstract_shown": true,
  "affiliations": [
    "The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China; Wenzhou Medical University, Wenzhou, Zhejiang, China. Electronic address: sun160414@icloud.com",
    "The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China; Wenzhou Medical University, Wenzhou, Zhejiang, China",
    "School of Urban Planning and Design, Peking University Shenzhen Graduate School, Shenzhen, China",
    "Wenzhou Medical University, Wenzhou, Zhejiang, China"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 7,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Yanggang Hong",
      "orcid": "0009-0004-4507-0093"
    },
    {
      "affs": [
        1
      ],
      "name": "Jiajun Li"
    },
    {
      "affs": [
        2
      ],
      "name": "Jie Zhou",
      "orcid": "0000-0003-3208-9073"
    },
    {
      "affs": [
        3
      ],
      "name": "Deqi Wang"
    },
    {
      "affs": [
        1
      ],
      "name": "Feng Chen"
    },
    {
      "affs": [
        3
      ],
      "name": "Yuze Mi"
    },
    {
      "affs": [
        3
      ],
      "name": "Yi Wang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/2vx1enr4xkez5.bib",
  "cited_by": 5,
  "doi": "10.1016/j.xpro.2026.104555",
  "fulltext_url": null,
  "id": "2vx1enr4xkez5",
  "issns": [
    "2666-1667"
  ],
  "landing_url": "https://doi.org/10.1016/j.xpro.2026.104555",
  "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": [
    [
      "openalex",
      "3002|Computational Drug Discovery Methods"
    ]
  ],
  "openalex": "W7160921066",
  "pdf_url": null,
  "pmcid": "PMC13194618",
  "pmid": "42113629",
  "published": "2026-05-14",
  "publisher": "Elsevier BV",
  "ris": "https://research.draconitic.com/paper/2vx1enr4xkez5.ris",
  "sources": [
    {
      "first_seen": "2026-11-06T13:20:40Z",
      "native_id": "W7160921066",
      "source": "openalex",
      "url": "https://doi.org/10.1016/j.xpro.2026.104555"
    }
  ],
  "subjects": [
    {
      "field": "chemistry",
      "origin": "openalex:3002|Computational Drug Discovery Methods",
      "subfield": "medicinal"
    }
  ],
  "title": "Protocol for analyzing potential targets of environmental pollutants in human diseases using network toxicology and molecular docking",
  "title_text": "Protocol for analyzing potential targets of environmental pollutants in human diseases using network toxicology and molecular docking",
  "type": "peer-reviewed",
  "updated_at": "2026-11-09T13:21:17Z",
  "url": "https://research.draconitic.com/paper/2vx1enr4xkez5",
  "venue": "STAR Protocols",
  "versions": []
}