Department of Infectious Diseases, Institute of Biomedicine, The Sahlgrenska Academy at the University of Gothenburg, Gothenburg, SE-413 46, Sweden, Department of Plant and Environmental Sciences, University of Copenhagen, Copenhagen, DK-1871, Denmark and Department of Mathematical Sciences, Chalmers University of Technology, SE-412 96, Gothenburg, Sweden.
Nucleic Acids Res. 2014 Jan;42(Database issue):D737-43. doi: 10.1093/nar/gkt1252. Epub 2013 Dec 3.
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.
由于抗生素的广泛、不当和过度使用，抗生素耐药性已成为一个主要的人类健康关注点。除了抗生素，抗菌杀生物剂和金属也可以通过共同选择促进细菌群落中抗生素耐药性的发展和维持。然而，有关金属和杀生物剂耐药基因的信息，包括它们的序列和分子功能，却分散各处。在这里，我们介绍 BacMet（http://bacmet.biomedicine.gu.se）——这是一个基于对科学文献深入审查的抗菌杀生物剂和金属耐药基因的人工 curated 数据库。BacMet 数据库包含 470 个经过实验验证的耐药基因。此外，该数据库还包含 25477 个从公共序列存储库中收集的潜在耐药基因。BacMet 数据库中的所有耐药基因都根据其分子功能和诱导的耐药表型进行了组织。
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