Cargando…
Antimicrobial Resistance Prediction for Gram-Negative Bacteria via Game Theory-Based Feature Evaluation
The increasing prevalence of antimicrobial-resistant bacteria drives the need for advanced methods to identify antimicrobial-resistance (AMR) genes in bacterial pathogens. With the availability of whole genome sequences, best-hit methods can be used to identify AMR genes by differentiating unknown s...
Autores principales: | Chowdhury, Abu Sayed, Call, Douglas R., Broschat, Shira L. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6785542/ https://www.ncbi.nlm.nih.gov/pubmed/31597945 http://dx.doi.org/10.1038/s41598-019-50686-z |
Ejemplares similares
-
Publisher Correction: Antimicrobial Resistance Prediction for Gram-Negative Bacteria via Game Theory-Based Feature Evaluation
por: Chowdhury, Abu Sayed, et al.
Publicado: (2020) -
PARGT: a software tool for predicting antimicrobial resistance in bacteria
por: Chowdhury, Abu Sayed, et al.
Publicado: (2020) -
Circumventing colistin resistance by combining colistin and antimicrobial peptides to kill colistin-resistant and multidrug-resistant Gram-negative bacteria
por: Witherell, Kaitlin S., et al.
Publicado: (2020) -
Mechanisms of Antimicrobial Peptide Resistance in Gram-Negative Bacteria
por: Band, Victor I., et al.
Publicado: (2014) -
Antimicrobial Peptides: Virulence and Resistance Modulation in Gram-Negative Bacteria
por: Duperthuy, Marylise
Publicado: (2020)