Putative novel resistance genes.

NIAID Data Ecosystem2026-03-08 收录

细菌耐药性

抗性基因

数据链接：

https://figshare.com/articles/dataset/_Putative_novel_resistance_genes_/850174 数据链接链接失效反馈

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资源简介：

These genes were not previously known to generate resistance, yet their resistance function was confirmed when the ORFs encoding them were cloned into E. coli.

创建时间：

2013-11-13

Additional file 1: of Dissemination and genetic analysis of the stealthy vanB gene clusters of Enterococcus faecium clinical isolates in Japan

细菌耐药性

生物信息学

Table S1. Amino acid identities of vanB gene cluster of wild M1 and Y7 strains. aThe genetic information for VanB-type vancomycin resistant enterococci was obtained from the genome database in NCBI (

DataCite Commons2020-08-28 更新40

Table_1_Antimicrobial susceptibility profiles and tentative epidemiological cutoff values of Legionella pneumophila from environmental water and soil sources in China.XLSX

军团菌药敏分析

细菌耐药性

Legionnaires’ disease (LD), caused by Legionella, including the most prevalent Legionella pneumophila, has been treated primarily with antibiotics. Environmental water and soil are the reservoirs for

NIAID Data Ecosystem20

MDR patterns and contribution of bacterial isolates in neonatal sepsis (N = 138) at JMC, Ethiopia.

新生儿败血症

细菌耐药性

MDR patterns and contribution of bacterial isolates in neonatal sepsis (N = 138) at JMC, Ethiopia.

NIAID Data Ecosystem10

Susceptibilities of C. jejuni 11168 and its efflux mutants to pure phenolic compounds and phenolic extracts of plant origin.

细菌耐药性

天然产物抗微生物活性

“Fold diff” depicts fold difference, which is calculated using the formula: MIC of 11168/MIC of a mutant strain. ≥4-fold changes are indicated in bold.*The MICs of 11168B are significantly lower than

Figshare2015-12-02 更新30

Antimicrobial Susceptibility and Molecular Characterization of Bacterial Strains Isolated from Abscesses in Slaughtered Sheep and Cattle in Algeria

细菌耐药性

屠宰牲畜病原菌监测

this study aimed to identify the bacterial strains isolated from abscesses in slaughtered sheep and cattle and determine their antibiotic resistance profiles.

NIAID Data Ecosystem20

Putative novel resistance genes.

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