Visiting Speaker
Seth Rhoades
Postdoctoral Research Fellow, Vanderbilt University Medical Center
Predicting modulators of lifespan and healthspan in vivo from genome-level metabolic network models, applications to diet and youth mimetics
Monday
Oct 21, 2019
Watch video
11:00 am
177 Huntington Ave
11th floor

Many therapeutic discovery approaches strictly analyze gene activity, protein concentration, or other ‘omic data types, however these top-down approaches neglect deeper characteristics of biology. Metabolic networks exhibit scale-free topologies, where the connectivities among genes, metabolites, and reactions follow power-law distributions. This information is embedded metabolic graphs, and by accounting for these network properties, both a bottom-up discovery alternative, and a central data integration mechanism, is presented. The utility of this approach to influence metabolic phenotypes is demonstrated through the prediction of genetic and chemical mimetics of young and aged Caenorhabditis elegans. Now, computational modeling of these metabolic networks can be applied to discover mimetics of youth, diets, caloric restriction, or other desirable phenotypes in mammals, as a means to treat metabolic conditions. Active and future work will also be presented regarding the ability to predict combination therapies from these networks, as structured networks set the basis for community detection and graph-partitioning techniques.

About the speaker
The shift of disease burden to chronic diseases, particularly in metabolism, is without precedent. Amplified by aging global populations, this shift will pose a destabilizing force in healthcare and economic systems, and mitigating these long risks requires innovations now. Meeting these challenges require new therapeutics, and fit-for-purpose strategies to discover them. Seth recently founded Robur Health, a biotechnology company focused on augmenting healthspan through the invention of novel computational approaches to solve challenging biological problems. He holds a PhD in Pharmacology from the University of Pennsylvania, and performed postdoctoral studies in clinical informatics at Vanderbilt University. Through a diverse training in analytical chemistry, bioinformatics, and computer science, his ideas congealed around a unique target discovery approach, which he did not see exist in the industry. Robur formed after the development of an initial working prototype which predicted lifespan modulators in vivo, and continues development of this approach to discover mimetics of diets, caloric restriction, and youth as a means to treat metabolic conditions.
Visiting Speaker
Seth Rhoades
Postdoctoral Research Fellow, Vanderbilt University Medical Center
Predicting modulators of lifespan and healthspan in vivo from genome-level metabolic network models, applications to diet and youth mimetics
Mon
Oct 21, 2019
11:00 am
177 Huntington Ave
11th floor
ADD to calendar

Many therapeutic discovery approaches strictly analyze gene activity, protein concentration, or other ‘omic data types, however these top-down approaches neglect deeper characteristics of biology. Metabolic networks exhibit scale-free topologies, where the connectivities among genes, metabolites, and reactions follow power-law distributions. This information is embedded metabolic graphs, and by accounting for these network properties, both a bottom-up discovery alternative, and a central data integration mechanism, is presented. The utility of this approach to influence metabolic phenotypes is demonstrated through the prediction of genetic and chemical mimetics of young and aged Caenorhabditis elegans. Now, computational modeling of these metabolic networks can be applied to discover mimetics of youth, diets, caloric restriction, or other desirable phenotypes in mammals, as a means to treat metabolic conditions. Active and future work will also be presented regarding the ability to predict combination therapies from these networks, as structured networks set the basis for community detection and graph-partitioning techniques.

about the speaker
The shift of disease burden to chronic diseases, particularly in metabolism, is without precedent. Amplified by aging global populations, this shift will pose a destabilizing force in healthcare and economic systems, and mitigating these long risks requires innovations now. Meeting these challenges require new therapeutics, and fit-for-purpose strategies to discover them. Seth recently founded Robur Health, a biotechnology company focused on augmenting healthspan through the invention of novel computational approaches to solve challenging biological problems. He holds a PhD in Pharmacology from the University of Pennsylvania, and performed postdoctoral studies in clinical informatics at Vanderbilt University. Through a diverse training in analytical chemistry, bioinformatics, and computer science, his ideas congealed around a unique target discovery approach, which he did not see exist in the industry. Robur formed after the development of an initial working prototype which predicted lifespan modulators in vivo, and continues development of this approach to discover mimetics of diets, caloric restriction, and youth as a means to treat metabolic conditions.