2017 Annual Meeting

Session: In silico Systems Biology I: Biotechnology Applications

Computational approaches are needed to unravel the complexity of biological networks and understand how they function as a system. This session will focus on recent advances in the application of in silico methods and/or the development of novel computational techniques to understand biological systems.

Chair

Brynildsen, M., Princeton University

Co-Chairs

Shoemaker, J., The McGowan Institute for Regenerative Medicine
Saha, R., University of Nebraska-Lincoln

Presentations

08:00 AM

(291a) Constructing Predictive Kinetic Models of Metabolism with Transcriptional Regulation
Dash, S., Gopalakrishnan, S., Foster, C., Maranas, C. D.

08:18 AM

(291b) Scalable and Efficient Bayesian Metabolic Modeling with Linear-Logarithmic Kinetics
St. John, P., Rollin, J., Crowley, M. F., Bomble, Y. J.

08:36 AM

(291c) The E. coli Proteome and Metallome Under Oxidative Stress
Yang, L., Palsson, B. O., Lloyd, C. J., Kim, D., Seo, S., Park, J. H.

08:54 AM

(291d) Modeling Stochasticity in the Cell Cycle
Hartmanshenn, C., Rao, R., Pierre, K., Androulakis, I. P.

09:12 AM

(291e) Application of Machine Learning and Active Learning to Enhance Chemical Yields in Microbes
Kumar, P., Adamczyk, P., Zhang, X., Ramanathan, P., Reed, J.

09:30 AM

(291f) In silico and in vitro Analysis of Energy Conservation and Bifurcating Enzymes in Clostridium Thermocellum
Hunt, K. A., Carlson, R. P., Chou, K. J., Pin-Ching, M., Jay, Z.

09:48 AM

(291g) Model-Guided Engineering of Microbial Biocatalysts
Reed, J.