{
  "abstract": "Motivation: The rising incidence of antifungal drug resistance represents a major and growing threat to global public health and food security. Therefore, understanding the genetic and molecular mechanisms that underpin antifungal resistance is essential for both clinical management and agricultural disease control.\n\nResults: We present MARDy 2.0, an updated platform replacing the original Mycology Antifungal Resistance Database. MARDy 2.0 provides an interactive platform for exploring antifungal resistance data from the community resource FungAMR, and protein structures from UniProtKB or predicted structures using AlphaFold. The platform provides enhanced tools for data exploration and analysis and is freely accessible via an interactive web interface that supports search filtering and downloads, BLAST-based sequence similarity searches, an experimental natural-language query interface for exploratory analysis, a mutation plot for visualizing mutations in a protein context, and structural predictions showing mutation locations. MARDy 2.0 provides a platform to facilitate research into antifungal resistance evolution, surveillance, and mitigation strategies. MARDy should be used and cited alongside the underlying resources it integrates, FungAMR.\n\nAvailability and implementation: Accessible at https://mardy.net.",
  "abstract_shown": true,
  "affiliations": [
    "Medical Research Council Centre for Medical Mycology, University of Exeter , Exeter EX4 4QJ,",
    "School of Biosciences, University of Birmingham , Birmingham B15 2TT,"
  ],
  "article_type": "brief report",
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Joe Webber"
    },
    {
      "affs": [
        0
      ],
      "name": "Hugh Gifford"
    },
    {
      "affs": [
        1
      ],
      "name": "Johanna Rhodes"
    },
    {
      "affs": [
        0
      ],
      "name": "Rhys A Farrer",
      "orcid": "0000-0001-8456-7458"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/1dz1cv19cdjh1.bib",
  "cited_by": 0,
  "doi": "10.1093/bioinformatics/btag786",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13716487/",
  "id": "1dz1cv19cdjh1",
  "issns": [
    "1367-4803",
    "1367-4811"
  ],
  "landing_url": "https://academic.oup.com/bioinformatics/article/doi/10.1093/bioinformatics/btag786/8943593",
  "language": "en",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "AcademicSubjects/SCI01060"
    ],
    [
      "heading",
      "Applications Note"
    ],
    [
      "heading",
      "Databases and Ontologies"
    ],
    [
      "openalex",
      "2725|Antifungal resistance and susceptibility"
    ]
  ],
  "openalex": "W7222914499",
  "pdf_url": "https://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btag786/72115384/btag786.pdf",
  "pmcid": "PMC13716487",
  "pmid": "42895814",
  "published": "2026-10-19",
  "publisher": "Oxford University Press (OUP)",
  "ris": "https://research.draconitic.com/paper/1dz1cv19cdjh1.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:19:38Z",
      "native_id": "10.1093/bioinformatics/btag786",
      "source": "crossref",
      "url": "https://academic.oup.com/bioinformatics/article/doi/10.1093/bioinformatics/btag786/8943593"
    },
    {
      "first_seen": "2026-11-01T12:23:25Z",
      "native_id": "PMC13716487",
      "source": "pmc",
      "url": "https://doi.org/10.1093/bioinformatics/btag786"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2725|Antifungal resistance and susceptibility",
      "subfield": "infectious-disease"
    }
  ],
  "title": "MARDy 2.0: a platform for exploring and analysing antifungal resistance mutations",
  "title_text": "MARDy 2.0: a platform for exploring and analysing antifungal resistance mutations",
  "type": "peer-reviewed",
  "updated_at": "2026-11-01T12:23:25Z",
  "url": "https://research.draconitic.com/paper/1dz1cv19cdjh1",
  "venue": "Bioinformatics",
  "versions": []
}