David Braley Centre for Antibiotic Discovery, McMaster University, Hamilton, Ontario, L8S 4K1, Canada.
M.G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, Ontario, L8S 4K1, Canada.
Nucleic Acids Res. 2020 Jan 8;48(D1):D517-D525. doi: 10.1093/nar/gkz935.
The Comprehensive Antibiotic Resistance Database (CARD; https://card.mcmaster.ca) is a curated resource providing reference DNA and protein sequences, detection models and bioinformatics tools on the molecular basis of bacterial antimicrobial resistance (AMR). CARD focuses on providing high-quality reference data and molecular sequences within a controlled vocabulary, the Antibiotic Resistance Ontology (ARO), designed by the CARD biocuration team to integrate with software development efforts for resistome analysis and prediction, such as CARD's Resistance Gene Identifier (RGI) software. Since 2017, CARD has expanded through extensive curation of reference sequences, revision of the ontological structure, curation of over 500 new AMR detection models, development of a new classification paradigm and expansion of analytical tools. Most notably, a new Resistomes & Variants module provides analysis and statistical summary of in silico predicted resistance variants from 82 pathogens and over 100 000 genomes. By adding these resistance variants to CARD, we are able to summarize predicted resistance using the information included in CARD, identify trends in AMR mobility and determine previously undescribed and novel resistance variants. Here, we describe updates and recent expansions to CARD and its biocuration process, including new resources for community biocuration of AMR molecular reference data.
综合性抗生素耐药性数据库 (CARD; https://card.mcmaster.ca) 是一个经过精心整理的资源,提供了关于细菌抗生素耐药性 (AMR) 分子基础的参考 DNA 和蛋白质序列、检测模型和生物信息学工具。CARD 专注于在受控词汇表 (抗生素耐药性本体论 (ARO)) 内提供高质量的参考数据和分子序列,该词汇表由 CARD 生物整理团队设计,旨在与耐药组分析和预测的软件开发工作相集成,例如 CARD 的耐药基因标识符 (RGI) 软件。自 2017 年以来,CARD 通过对参考序列的广泛整理、本体结构的修订、500 多个新 AMR 检测模型的整理、新分类范式的开发以及分析工具的扩展而得以扩展。最值得注意的是,一个新的 Resistomes & Variants 模块提供了来自 82 种病原体和超过 100000 个基因组的计算机预测耐药变体的分析和统计总结。通过将这些耐药变体添加到 CARD 中,我们能够使用 CARD 中包含的信息总结预测的耐药性,识别 AMR 移动性的趋势,并确定以前未描述和新颖的耐药变体。在这里,我们描述了 CARD 及其生物整理过程的更新和最近扩展,包括用于社区生物整理 AMR 分子参考数据的新资源。