Mathematical models to study the biology of pathogens and the infectious diseases they cause
Mathematical models have many applications in infectious diseases: epidemiologists use
them to forecast outbreaks and design containment strategies; systems biologists use them …
them to forecast outbreaks and design containment strategies; systems biologists use them …
Distinct increase in antimicrobial resistance genes among Vibrio parahaemolyticus in recent decades worldwide
GY Fang, XQ Liu, XJ Mu, BW Huang, YJ Jiang - Chemosphere, 2023 - Elsevier
Vibrio parahaemolyticus is a common pathogen, and has emerged with multiple
antimicrobial resistance (AMR). However, few studies have conducted large-scale …
antimicrobial resistance (AMR). However, few studies have conducted large-scale …
AMiGA: software for automated analysis of microbial growth assays
The analysis of microbial growth is one of the central methods in the field of microbiology.
Microbial growth dynamics can be characterized by meaningful parameters, including …
Microbial growth dynamics can be characterized by meaningful parameters, including …
Systems biology approach to functionally assess the Clostridioides difficile pangenome reveals genetic diversity with discriminatory power
CJ Norsigian, HA Danhof, CK Brand… - Proceedings of the …, 2022 - National Acad Sciences
Combatting Clostridioides difficile infections, a dominant cause of hospital-associated
infections with incidence and resulting deaths increasing worldwide, is complicated by the …
infections with incidence and resulting deaths increasing worldwide, is complicated by the …
Antibacterial and sporicidal activity evaluation of theaflavin-3, 3′-digallate
A Yussof, B Cammalleri, O Fayemiwo, S Lopez… - International Journal of …, 2022 - mdpi.com
Theaflavin-3, 3′-digallate (TFDG), a polyphenol derived from the leaves of Camellia
sinensis, is known to have many health benefits. In this study, the antibacterial effect of …
sinensis, is known to have many health benefits. In this study, the antibacterial effect of …
Novel drivers of virulence in Clostridioides difficile identified via context-specific metabolic network analysis
The pathogen Clostridioides difficile causes toxin-mediated diarrhea and is the leading
cause of hospital-acquired infection in the United States. Due to growing antibiotic …
cause of hospital-acquired infection in the United States. Due to growing antibiotic …
Predictive regulatory and metabolic network models for systems analysis of Clostridioides difficile
We present predictive models for comprehensive systems analysis of Clostridioides difficile,
the etiology of pseudomembranous colitis. By leveraging 151 published transcriptomes, we …
the etiology of pseudomembranous colitis. By leveraging 151 published transcriptomes, we …
Computational approaches to understanding Clostridioides difficile metabolism and virulence
Highlights•C. difficile responds to a variety of metabolic signals that drive virulence
expression, making individual study difficult.•Computational modeling allows for a …
expression, making individual study difficult.•Computational modeling allows for a …
Is the kinetome conserved?
BO Palsson, JT Yurkovich - Molecular systems biology, 2022 - embopress.org
Computational biologists have labored for decades to produce kinetic models to
mechanistically explain complex metabolic phenomena. The estimation of numerical values …
mechanistically explain complex metabolic phenomena. The estimation of numerical values …
One size does not fit all – Trehalose metabolism by Clostridioides difficile is variable across the five phylogenetic lineages
A Marshall, JW McGrath, M Mitchell… - Microbial …, 2023 - microbiologyresearch.org
Clostridioides difficile, the leading cause of antibiotic-associated diarrhoea worldwide, is a
genetically diverse species which can metabolise a number of nutrient sources upon …
genetically diverse species which can metabolise a number of nutrient sources upon …