Recent advancements in omics technologies have generated a wealth of biological data.
Integrating these data within mathematical models is essential to fully leverage their …

Over the last two decades, thousands of genome-scale metabolic network models (GSMMs)
have been constructed. These GSMMs have been widely applied in various fields, ranging …

Constraint-based modeling (CBM) has evolved as the core systems biology tool to map the
interrelations between genotype, phenotype, and external environment. The recent …

Sharing of genetic elements among different pathogens and commensals inhabiting same
hosts and environments has significant implications for antimicrobial resistance (AMR) …

When selecting microbial strains for the production of fermented foods, various microbial
phenotypes need to be taken into account to achieve target product characteristics, such as …

Ulcerative colitis (UC) is a challenging form of inflammatory bowel disease, and its etiology
is intricately linked to disturbances in the gut microbiome. To identify the potential alleviators …

The growing transition to digital microbiology in clinical laboratories creates the opportunity
to interpret images using software. Software analysis tools can be designed to use human …

Anthropogenic environments such as those created by intensive farming of livestock, have
been proposed to provide ideal selection pressure for the emergence of antimicrobial …

Antibiotic resistance poses mounting risks to human health, as current antibiotics are losing
efficacy against increasingly resistant pathogenic bacteria. Of particular concern is the …

The urgent necessity to fight antimicrobial resistance is universally recognized. In the search
of new targets and strategies to face this global challenge, a promising approach resides in …