Evidence map›Paper›PMID 42695975›Full record

ArticleGigaScience2026

Programmatic access to ICTV virus taxonomy through a public ontology API.

Philippe Lieutaud, James McLaughlin, R Curtis Hendrickson, Romain David, Helen Parkinson, Elliot J Lefkowitz, Donald M Dempsey, Bruno Coutard

Abstract read
In one paragraph

Article in GigaScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Philippe LieutaudUnité Des Virus Emergents (UVE: Aix-Marseille University, Universita Di Corsica, IRD190, Inserm 1207 IRBA), 25 boulevard Jean Moulin, 13005, Marseille, France.ORCID 0000-0002-5080-3456
James McLaughlinEuropean Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom.ORCID 0000-0002-8361-2795
R Curtis HendricksonInternational Committee on the Taxonomy of Viruses (ICTV); University of Alabama at Birmingham, Department of Microbiology, Birmingham, Alabama 35294, United States.ORCID 0000-0001-6986-4630
Romain DavidEuropean Research Infrastructure on Highly Pathogenic Agents (ERINHA AISBL), 98 rue du Trône, B-1050 Bruxelles, Belgium.ORCID 0000-0003-4073-7456
Helen ParkinsonEuropean Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom.ORCID 0000-0003-3035-4195
Elliot J LefkowitzInternational Committee on the Taxonomy of Viruses (ICTV); University of Alabama at Birmingham, Department of Microbiology, Birmingham, Alabama 35294, United States.ORCID 0000-0002-4748-4925
Donald M DempseyInternational Committee on the Taxonomy of Viruses (ICTV); University of Alabama at Birmingham, Department of Microbiology, Birmingham, Alabama 35294, United States.ORCID 0000-0002-2200-5828
Bruno CoutardUnité Des Virus Emergents (UVE: Aix-Marseille University, Universita Di Corsica, IRD190, Inserm 1207 IRBA), 25 boulevard Jean Moulin, 13005, Marseille, France.ORCID 0000-0002-2859-7123

Funding

Virus Taxonomy: A Community Knowledgebase Supporting Virus ResearchU24AI162625 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Elliot J. Lefkowitz · 2021 to 2026
$3.0M
European Union 101131959National Institute of Allergy and Infectious Diseases U24AI162625NIAID NIH HHS U24 AI162625UAB
6 · The paper itself

Abstract

backgroundThe International Committee on Taxonomy of Viruses (ICTV) is responsible for developing and maintaining a universal virus taxonomy. As the reference framework for organizing the viral world, it is essential for virology and related fields. Despite its widespread use in research and public health, programmatic access to ICTV taxonomy has remained limited, posing challenges for integration, versioning, and interoperability across databases and bioinformatics resources requiring up-to-date virus taxonomy.

findingsTo address this, we developed a public and sustainable solution leveraging ontology-based APIs. All available ICTV Master Species List (MSL) releases, from MSL1 to MSL41, were transformed into a unified, semantically structured ontology comprising more than 195,000 current and historical entities and deployed through the Ontology Lookup Service. The ontology is automatically rebuilt and republished whenever a new MSL release becomes available. Complementary ICTV-NCBI mappings and helper libraries support integration into downstream systems.

conclusionsTogether, these resources enable, for the first time, public programmatic retrieval of current and historical ICTV taxon names, taxonomic relationships, metadata, and persistent identifiers through stable endpoints, including resolution of former taxonomic terms to their current accepted taxon or taxa and retrieval of taxon histories across releases. More broadly, this work illustrates a general strategy for transforming structured biological datasets into semantically enriched graph resources exposed through scalable public APIs. These developments enhance interoperability, reduce manual curation, and support Findable, Accessible, Interoperable, and Reusable (FAIR)-aligned taxonomic data management in virology and pandemic preparedness.

Indexed as

Computational BiologySoftwareVirusesBiocurationDatabases, FactualAPIFAIR principlesICTVinteroperabilityontologyvirus taxonomy

Identifiers

PMID42695975
PMCPMC13615544

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.