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Dataset Information

In Silico Identification and Molecular Characterization of <i>Lentilactobacillus hilgardii</i> Antimicrobial Peptides with Activity Against Carbapenem-Resistant <i>Acinetobacter baumannii</i>.


ABSTRACT:

Background/objectives

Biofilm formation by Acinetobacter baumannii contributes to its persistence in clinical settings and resistance to antibiotic treatment. This study aims to identify and characterize antimicrobials from lactic acid bacteria (LAB) using molecular and in silico approaches that can prevent and disrupt A. baumannii biofilms, assess their antimicrobial host range, and define their synergy with current antibiotics.

Methods

Thirteen LAB isolates from the Human Microbiome Project were screened for anti-biofilm activity against A. baumannii. Conditioned media was further tested against six ESKAPE pathogens and three skin commensals. Lentilactobacillus hilgardii was selected for detailed study and antimicrobial peptide (AMP) prediction

SUBMITTER: Appel A 

PROVIDER: S-EPMC12561633 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature