Antimicrobial Resistance (AMR)

Antibiotics are a type of drugs used in the treatment and prevention of bacterial infections. Antimicrobial Resistance (AMR) refers to the ability of bacteria to resist the effects of antibiotics that are commonly used to treat them. Resistance arises through one of three ways: natural resistance in certain types of bacteria, genetic mutation, or by one species acquiring resistance from another. PATRIC provides a variety of data and analysis tools to help researchers study AMR and its genetic determinants. This includes AMR phenotype data for the bacterial genomes as well as genes and intergenic regions associated with AMR.

Antibiotics

Antibiotics are a type of antimicrobial drugs used in the treatment and prevention of bacterial infections. PATRIC provides basic information about commonly used antibiotics, inlcuding their chemical and physical properties, pharmacology, and mechanism of action. In addition, each antibiotic is linked to other relevant data available in PATRIC, such as AMR phenotypes for genomes, AMR genes, and AMR regions. Below are some examples:

AMR Phenotypes

AMR phenotypes refer to the resistance or susceptibility of a given organism to one or more antibiotics. PATRIC collects AMR phenotype data generated using antimicrobial susceptibility testing methods (AST) from published studies and collaborators. In addition, we also provide predicted AMR phenotypes using machine learning classifiers. See AMR phenotype data for select genera:

AMR Genes

AMR genes refere to the genes implicated in or associated with the resistance to one or more antibiotics. The resistance may result from the presence or absense of a gene or specific murations acquired sponteniously or through evolution over time. We integrate and map known antibiotic resistance genes from the following sources:

AMR Regions

AMR regions refer to the small genomic regions implicated in or associated with the resistance to one or more antibiotics. The AMR regions are computationally predicted using machine learning classifiers used to predict AMR phenotypes. They may map to existing genes or intergenic regions and may help identify new AMR genes or understand AMR mechanisms.

How Do We Curate, Integrate, and Map Antibiotic Resistance Data?

Antibiotics Resistance Chart