Computational models, databases and tools for antibiotic combinations.
Brief Bioinform
; 23(5)2022 09 20.
Article
em En
| MEDLINE
| ID: mdl-35915052
ABSTRACT
Antibiotic combination is a promising strategy to extend the lifetime of antibiotics and thereby combat antimicrobial resistance. However, screening for new antibiotic combinations is both time-consuming and labor-intensive. In recent years, an increasing number of researchers have used computational models to predict effective antibiotic combinations. In this review, we summarized existing computational models for antibiotic combinations and discussed the limitations and challenges of these models in detail. In addition, we also collected and summarized available data resources and tools for antibiotic combinations. This study aims to help computational biologists design more accurate and interpretable computational models.
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Biologia Computacional
/
Antibacterianos
Tipo de estudo:
Prognostic_studies
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article