Applying Metabolic Network Based Approaches in the Study of Bacteria

Event Sponsor: 
Data Science and Learning Candidate Presentation
Start Date: 
Jul 16 2019 - 3:00pm
Building 240/Room 4301
Argonne National Laboratory
Shany Ofaim
Speaker(s) Title: 
Boston University
Chris Henry

Advances in genomics enable a high resolution study of bacteria in the context of their environments. Conceptual approaches involving the application of metabolic networks are commonly used as a powerful predictive tool to produce testable hypotheses. Presented here, is the application of metabolic network based approaches in the community, organism and metabolite level in the study of bacteria. On the community level we have developed a qualitative network based approach to explore the functional division in a complex microbial soil community. Continuing on to the organism level, genome scale reconstructions are shown to potentially serve as a predictive tool towards the study of complex metabolic mechanisms and achieving optimal biodegradation efficiencies and for the development of ecologically friendly solutions for pollutant degradation.  Finally exploring the metabolite level is the study of protein-ligand interactions integrating structural and functional data put in context of a well curated metabolic network.