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全面抗生素耐药性数据库。

The comprehensive antibiotic resistance database.

机构信息

M.G. DeGroote Institute for Infectious Disease Research, Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada.

出版信息

Antimicrob Agents Chemother. 2013 Jul;57(7):3348-57. doi: 10.1128/AAC.00419-13. Epub 2013 May 6.

Abstract

The field of antibiotic drug discovery and the monitoring of new antibiotic resistance elements have yet to fully exploit the power of the genome revolution. Despite the fact that the first genomes sequenced of free living organisms were those of bacteria, there have been few specialized bioinformatic tools developed to mine the growing amount of genomic data associated with pathogens. In particular, there are few tools to study the genetics and genomics of antibiotic resistance and how it impacts bacterial populations, ecology, and the clinic. We have initiated development of such tools in the form of the Comprehensive Antibiotic Research Database (CARD; http://arpcard.mcmaster.ca). The CARD integrates disparate molecular and sequence data, provides a unique organizing principle in the form of the Antibiotic Resistance Ontology (ARO), and can quickly identify putative antibiotic resistance genes in new unannotated genome sequences. This unique platform provides an informatic tool that bridges antibiotic resistance concerns in health care, agriculture, and the environment.

摘要

抗生素药物发现领域和新抗生素耐药元件的监测尚未充分利用基因组革命的力量。尽管第一个测序的自由生活生物体基因组是细菌基因组,但针对与病原体相关的不断增长的基因组数据,开发的专门生物信息学工具却很少。特别是,几乎没有工具可以研究抗生素耐药性的遗传学和基因组学,以及它如何影响细菌种群、生态学和临床。我们已经以综合抗生素研究数据库(CARD;http://arpcard.mcmaster.ca)的形式开始开发此类工具。CARD 集成了不同的分子和序列数据,以抗生素耐药性本体(ARO)的形式提供了独特的组织原则,并可以快速识别新未注释基因组序列中的推定抗生素耐药基因。这个独特的平台提供了一个信息工具,可以将医疗保健、农业和环境中的抗生素耐药性问题联系起来。

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