CARD 2023: expanded curation, support for machine learning, and resistome prediction at the Comprehensive Antibiotic Resistance Database

Brian P. Alcock, William Huynh, Romeo Chalil, Keaton W. Smith, Amogelang R. Raphenya, Mateusz A. Wlodarski, Arman Edalatmand, Aaron Petkau, Sohaib A. Syed, Kara K. Tsang, Sheridan J.C. Baker, Mugdha Dave, Madeline C. McCarthy, Karyn M. Mukiri, Jalees A. Nasir, Bahar Golbon, Hamna Imtiaz, Xingjian Jiang, Komal Kaur, Megan KwongZi Cheng Liang, Keyu C. Niu, Prabakar Shan, Jasmine Y.J. Yang, Kristen L. Gray, Gemma R. Hoad, Baofeng Jia, Timsy Bhando, Lindsey A. Carfrae, Maya A. Farha, Shawn French, Rodion Gordzevich, Kenneth Rachwalski, Megan M. Tu, Emily Bordeleau, Damion Dooley, Emma Griffiths, Haley L. Zubyk, Eric D. Brown, Finlay Maguire, Robert G. Beiko, William W.L. Hsiao, Fiona S.L. Brinkman, Gary Van Domselaar, Andrew G. McArthur

Résultat de recherche: Articleexamen par les pairs

761 Citations (Scopus)

Résumé

The Comprehensive Antibiotic Resistance Database (CARD; card.mcmaster.ca) combines the Antibiotic Resistance Ontology (ARO) with curated AMR gene (ARG) sequences and resistance-conferring mutations to provide an informatics framework for annotation and interpretation of resistomes. As of version 3.2.4, CARD encompasses 6627 ontology terms, 5010 reference sequences, 1933 mutations, 3004 publications, and 5057 AMR detection models that can be used by the accompanying Resistance Gene Identifier (RGI) software to annotate genomic or metagenomic sequences. Focused curation enhancements since 2020 include expanded β-lactamase curation, incorporation of likelihood-based AMR mutations for Mycobacterium tuberculosis, addition of disinfectants and antiseptics plus their associated ARGs, and systematic curation of resistance-modifying agents. This expanded curation includes 180 new AMR gene families, 15 new drug classes, 1 new resistance mechanism, and two new ontological relationships: evolutionary_variant_of and is_small_molecule_inhibitor. In silico prediction of resistomes and prevalence statistics of ARGs has been expanded to 377 pathogens, 21,079 chromosomes, 2,662 genomic islands, 41,828 plasmids and 155,606 whole-genome shotgun assemblies, resulting in collation of 322,710 unique ARG allele sequences. New features include the CARD:Live collection of community submitted isolate resistome data and the introduction of standardized 15 character CARD Short Names for ARGs to support machine learning efforts.

Langue d'origineEnglish
Pages (de-à)D690-D699
JournalNucleic Acids Research
Volume51
Numéro de publicationD1
DOI
Statut de publicationPublished - janv. 6 2023

Note bibliographique

Publisher Copyright:
© The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research.

ASJC Scopus Subject Areas

  • Genetics

PubMed: MeSH publication types

  • Journal Article
  • Research Support, Non-U.S. Gov't

Empreinte numérique

Plonger dans les sujets de recherche 'CARD 2023: expanded curation, support for machine learning, and resistome prediction at the Comprehensive Antibiotic Resistance Database'. Ensemble, ils forment une empreinte numérique unique.

Citer