Browse AMR Genes
Explore antimicrobial resistance genes from the literature
Explore antimicrobial resistance genes from the literature
aminoglycoside N-acetyltransferase AAC(3)-IIIb
Overview
| Allele | Database | Papers | Drug Classes | Organisms | Countries | Years | Sequence Accession | Protein Accession |
|---|---|---|---|---|---|---|---|---|
| AAC(3)-IIIb | Card DatabaseReference Gene CatalogResFinder DatabaseReslit | 5 | TOBRAMYCIN, GENTAMICIN +3 | Pseudomonas aeruginosa +1 | Amazon River|Kalamas River|Cam River|Cambridge|Amazon River Plume | 2010, 2022, 2023 | LLLC01000048.1 | KSC15183.1 |
| AAC (3)-IIIb | Reslit | 1 | aminoglycosides | Klebsiella pneumoniae | - | 2025 | - | - |
| aac(3)-IIIb | ResFinder Database | 1 | SISOMICIN, DIBEKACIN +3 | Pseudomonas aeruginosa | - | - | L06160, LLLC01000048 | - |
Thermodynamics and kinetics of association of antibiotics with the aminoglycoside acetyltransferase (3)-IIIb, a resistance-causing enzyme.
Thermodynamics and kinetics of association of antibiotics with the aminoglycoside acetyltransferase (3)-IIIb, a resistance-causing enzyme.
Thermodynamics and kinetics of association of antibiotics with the aminoglycoside acetyltransferase (3)-IIIb, a resistance-causing enzyme.
Characterization of Discriminatory Antimicrobial Resistance Genes in Aquatic Environments Using Machine Learning
The study identifies discriminatory antibiotic resistance genes (ARGs) using an extremely randomized tree (ERT) algorithm, highlighting genes like sul1, tet(W), and ermB as significant markers for differentiating resistomes across various aquatic environments.
Structural and molecular rationale for the diversification of resistance mediated by the Antibiotic_NAT family.
The study identifies and characterizes several aminoglycoside acetyltransferases from environmental and clinical sources, highlighting their broad-spectrum resistance to aminoglycosides, including apramycin. Key findings include the structural and functional analysis of these enzymes, showing their role in conferring resistance and their potential for mobilization to pathogenic bacteria.
PanARGMiner (Pan-Genomic Antimicrobial Resistance Gene Miner): An advanced feature selection framework for extracting key resistance genes from pan-genomic datasets.
PanARGMiner effectively identifies key resistance genes from pan-genomic datasets, including both known and novel AMR genes, across multiple bacterial species.
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