The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
ARDB--Antibiotic Resistance Genes Database
Open accessAbstract
The treatment of infections is increasingly compromised by the ability of bacteria to develop resistance to antibiotics through mutations or through the acquisition of resistance genes. Antibiotic resistance genes also have the potential to be used for bio-terror purposes through genetically modified organisms. In order to facilitate the identification and characterization of these genes, we have created a manually curated database--the Antibiotic Resistance Genes Database (ARDB)--unifying most of the publicly available information on antibiotic resistance. Each gene and resistance type is annotated with rich information, including resistance profile, mechanism of action, ontology, COG and CDD annotations, as well as external links to sequence and protein databases. Our database also supports sequence similarity searches and implements an initial version of a tool for characterizing common mutations that confer antibiotic resistance. The information we provide can be used as compendium of antibiotic resistance factors as well as to identify the resistance genes of newly sequenced genes, genomes, or metagenomes. Currently, ARDB contains resistance information for 13,293 genes, 377 types, 257 antibiotics, 632 genomes, 933 species and 124 genera. ARDB is available at http://ardb.cbcb.umd.edu/.
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Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
Altschul, S. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.17.3389 · Cited by 73,302
KEGG for linking genomes to life and the environment
Kanehisa, M., Araki, M., Goto, S., Hattori, M., Hirakawa, M., Itoh, M., Katayama, T., Kawashima, S., Okuda, S., Tokimatsu, T., et al. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm882 · Cited by 6,782
The Universal Protein Resource (UniProt)
Bairoch, A. (2004) · Nucleic Acids Research · doi:10.1093/nar/gki070 · Cited by 3,774
Gandhi, N. R., Moll, A., Sturm, A. W., Pawinski, R., Govender, T., Lalloo, U., Zeller, K., Andrews, J., & Friedland, G. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69573-1 · Cited by 1,732
Molecular Mechanisms of Antibacterial Multidrug Resistance
Alekshun, M. N., & Levy, S. B. (2007) · Cell · doi:10.1016/j.cell.2007.03.004 · Cited by 1,647
CDD: a Conserved Domain Database for protein classification
Marchler-Bauer, A. (2004) · Nucleic Acids Research · doi:10.1093/nar/gki069 · Cited by 1,156
Vancomycin Resistance in Gram-Positive Cocci
Courvalin, P. (2006) · Clinical Infectious Diseases · doi:10.1086/491711 · Cited by 1,028
Multiple molecular mechanisms for multidrug resistance transporters
Higgins, C. F. (2007) · Nature · doi:10.1038/nature05630 · Cited by 860
The Universal Protein Resource (UniProt)
The UniProt Consortium (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm895 · Cited by 823
Benson, D. A., Karsch-Mizrachi, I., Lipman, D. J., Ostell, J., & Wheeler, D. L. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm929 · Cited by 774
Cited by
Origins and evolution of antibiotic resistance
Davies, J., & Davies, D. (2010) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00016-10 · Cited by 5,784
Rizzo, L., Manaia, C., Merlin, C., Schwartz, T., Dagot, C., Ploy, M. C., Michael, I., & Fatta-Kassinos, D. (2013) · Science of The Total Environment · doi:10.1016/j.scitotenv.2013.01.032 · Cited by 2,493
Shotgun metagenomics, from sampling to analysis
Quince, C., Walker, A. W., Simpson, J. T., Loman, N. J., & Segata, N. (2017) · Nature Biotechnology · doi:10.1038/nbt.3935 · Cited by 2,202
ARG-ANNOT, a new bioinformatic tool to discover antibiotic resistance genes in bacterial genomes
Gupta, S. K., Padmanabhan, B. R., Diene, S. M., Lopez-Rojas, R., Kempf, M., Landraud, L., & Rolain, J.-M. (2014) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.01310-13 · Cited by 1,476
Biogeography and individuality shape function in the human skin metagenome
Program, N. C. S., Oh, J., Byrd, A. L., Deming, C., Conlan, S., Kong, H. H., & Segre, J. A. (2014) · Nature · doi:10.1038/nature13786 · Cited by 1,148
Metadata
- Authors
- Liu, B., & Pop, M.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-01-01
- Volume
- 37
- Issue
- Database
- Pages
- D443-D447
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2008274231
- Cited by
- 1,257
- References
- 23
- FWCI
- 5.82
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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