BacMet: antibacterial biocide and metal resistance genes database
By Chandan Pal, Johan Bengtsson-Palme, C. Rensing, Erik Kristiansson, D. Larsson. Nucleic Acids Res., 2013
829 citations recorded by the source corpus.
Antibiotic resistance has become a major human health concern due to widespread use, misuse and overuse of antibiotics. In addition to antibiotics, antibacterial biocides and metals can contribute to the development and maintenance of antibiotic resistance in bacterial communities through co-selection. Information on metal and biocide resistance genes, including their sequences and molecular functions, is, however, scattered. Here, we introduce BacMet (http://bacmet.biomedicine.gu.se)—a manually curated database of antibacterial biocide- and metal-resistance genes based on an in-depth review of the scientific literature. The BacMet database contains 470 experimentally verified resistance genes. In addition, the database also contains 25 477 potential resistance genes collected from public sequence repositories. All resistance genes in the BacMet database have been organized according to their molecular function and induced resistance phenotype.
Subfields: Molecular Biology, Organic Chemistry
View Paper: https://www.semanticscholar.org/paper/8a65a0c1946240f3a8a5349753a5000afcb31e7b
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In Molecular Biology
- D. Larsson
- Johan Bengtsson-Palme
- Raymond Lo
- Fiona S. L. Brinkman
- Gerard D. Wright
- Erik Kristiansson
- Chandan Pal
In Organic Chemistry
Citations in the corpus
- MEGARes 2.0: a database for classification of antimicrobial drug, biocide and metal resistance determinants in metagenomic sequence data (2019, methodology): “For example, the Lahey Clinic database (33)––which is now maintained by the National Center for Biotechnology Information (NCBI) as part of the Bacterial Antimicrobial Resistance Reference Gene Database (34)––characterizes genes that confer resistance to betalactam compounds; the Antibacterial Bioci”
- CARD 2017: expansion and model-centric curation of the comprehensive antibiotic resistance database (2016, background): “…Resistance Genes Database (ARDB) (8), Antimicrobial Peptide Database (APD3) (9), Collection of Anti-Microbial Peptides (CAMP) (10), Database of Antimicrobial Activity and Structure of Peptides (DBAASP) (11), Antibiotic Resistance Gene-ANNOTation (ARG-ANNOT) (12), BacMet (13) and ResFinder (14).”
- Co-occurrence of resistance genes to antibiotics, biocides and metals reveals novel insights into their co-selection potential (2015, background): “Importantly, we may have most likely underestimated the presence of chromosomal resistance genes, as nontransferrable chromosomal genes are generally more variable than transferable genes [15].”