M. Nazmul Hoque

This study characterizes two multidrug-resistant E. coli strains from bovine mastitis in Bangladesh, revealing their resistome, virulome, and evolutionary relationships.

This study identifies deleterious LIG3 nsSNPs and potential therapeutic targets for AML using computational methods and molecular simulations.

This paper evaluates the probiotic potential and antimicrobial efficacy of E. faecium MBBL3 against bovine mastitis pathogens through genomic and in vitro analyses.

This study identifies six potential inhibitors of the DfrA1 protein through high-throughput screening of 3,601 compounds, with DC4 and DC6 showing superior efficacy compared to the control drug.

This study identifies essential core proteins in mastitis pathogens and evaluates bacteriocins as potential therapeutic agents targeting these proteins.

The paper analyzes the genome of an avian pathogenic Escherichia coli strain from Bangladesh to identify virulence and antimicrobial resistance genes.

The paper identifies differentially expressed genes (DEGs) in COVID-19 patients and recovered individuals using machine learning, revealing potential biomarkers and therapeutic compounds.

This study compares microbiome diversity and genomic features in COVID-19, COPD, and URTI samples to identify differences in composition and functional pathways.

This study characterizes two multidrug-resistant P. multocida strains from fowl cholera, identifying virulence factors and antimicrobial resistance genes through whole genome sequencing and pan-genome analysis.

The paper analyzes milk microbiomes from bovine clinical mastitis and healthy samples in Bangladesh, identifying microbial and functional differences associated with the disease.