| Literature DB >> 23650175 |
Andrew G McArthur1, Nicholas Waglechner, Fazmin Nizam, Austin Yan, Marisa A Azad, Alison J Baylay, Kirandeep Bhullar, Marc J Canova, Gianfranco De Pascale, Linda Ejim, Lindsay Kalan, Andrew M King, Kalinka Koteva, Mariya Morar, Michael R Mulvey, Jonathan S O'Brien, Andrew C Pawlowski, Laura J V Piddock, Peter Spanogiannopoulos, Arlene D Sutherland, Irene Tang, Patricia L Taylor, Maulik Thaker, Wenliang Wang, Marie Yan, Tennison Yu, Gerard D Wright.
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.Mesh：
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Year: 2013 PMID： 23650175 PMCID： PMC3697360 DOI： 10.1128/AAC.00419-13
Source DB: PubMed Journal: Antimicrob Agents Chemother ISSN： 0066-4804 Impact factor: 5.191