Targeting bacterial growth in biofilm conditions: rational design of novel inhibitors to mitigate clinical and food contamination using QSAR.
J Enzyme Inhib Med Chem
; 39(1): 2330907, 2024 Dec.
Article
em En
| MEDLINE
| ID: mdl-38651823
ABSTRACT
Antimicrobial resistance (AMR) is a pressing global issue exacerbated by the abuse of antibiotics and the formation of bacterial biofilms, which cause up to 80% of human bacterial infections. This study presents a computational strategy to address AMR by developing three novel quantitative structure-activity relationship (QSAR) models based on molecular topology to identify potential anti-biofilm and antibacterial agents. The models aim to determine the chemo-topological pattern of Gram (+) antibacterial, Gram (-) antibacterial, and biofilm formation inhibition activity. The models were applied to the virtual screening of a commercial chemical database, resulting in the selection of 58 compounds. Subsequent in vitro assays showed that three of these compounds exhibited the most promising antibacterial activity, with potential applications in enhancing food and medical device safety.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Desenho de Fármacos
/
Testes de Sensibilidade Microbiana
/
Biofilmes
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Relação Quantitativa Estrutura-Atividade
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Antibacterianos
Limite:
Humans
Idioma:
En
Revista:
J Enzyme Inhib Med Chem
Assunto da revista:
BIOQUIMICA
/
QUIMICA
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
Espanha