We aspire to tackle important questions in the study of metabolic networks that underlie challenges in human health & well-being. We perform experiments to understand the systems-level function of cellular metabolic networks and we develop novel computational tools to integrate high-throughput data in order to predict how cells respond to environmental & genetic perturbations. We perform further experiments to validate and improve these computational models. With increased predictive ability, we gain an understanding of mechanisms of metabolism that are critical in public health and identify potential strategies and interventions. Our efforts in this research area are always guided by clear ethical principles. As we engage in this research, we will make important advances in the health and well-being of society.
Biology is Now a Data Science - a new training grant matches computation and modeling to experimental design https://t.co/oX6sBybx8V
@sepiddsh @NIH @papinsysbio @janeslab @UVAEngineers
Enterococci enhance Clostridioides difficile pathogenesis @Nature
Excellent example of why community context (i.e. who & what else is there) matters in the #microbiome
https://t.co/8596TULLng
@papinsysbio is the latest @UVABME lab to get GOLD Green Labs Certification! They took some impressive steps towards being a more sustainable lab including a major overhaul of their cold storage inventories.
#LabTuesdays #LabSustainability #UVAGreenLabs
