Attila Gácser

The paper develops a framework to assess antibiotic resistance and virulence risks in pathogens, finding that resistance can increase virulence through genetic changes.

The paper uses machine learning to identify valeric acid as a bacterial metabolite that inhibits Candida parapsilosis growth through intracellular acidification, reducing fungal colonization in mice.

This study investigates how Candida species influence oral cancer progression through miRNA regulation, showing C. albicans drives oncogenic pathways while C. parapsilosis affects metabolic processes.

This study profiles transcriptome and proteome of Candida parapsilosis assimilating hydroxyaromatic carbon sources, revealing pathway regulation and metabolic connections.