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

Mark Brynildsen, Princeton University

Co-Chairs

Jason Shoemaker, The McGowan Institute for Regenerative Medicine
Rajib Saha, University of Nebraska-Lincoln

Presentations

08:00 AM

(291a) Constructing Predictive Kinetic Models of Metabolism with Transcriptional Regulation
Satyakam Dash, Saratram Gopalakrishnan, Charles Foster, Costas D. Maranas

08:18 AM

(291b) Scalable and Efficient Bayesian Metabolic Modeling with Linear-Logarithmic Kinetics
Peter St. John, Joseph Rollin, Michael F. Crowley, Yannick J. Bomble

08:36 AM

(291c) The E. coli Proteome and Metallome Under Oxidative Stress
Laurence Yang, Bernhard O. Palsson, Colton J. Lloyd, Donghyuk Kim, Sangwoo Seo, Joon Ho Park

08:54 AM

(291d) Modeling Stochasticity in the Cell Cycle
Clara Hartmanshenn, Rohit Rao, Kamau Pierre, Ioannis P. Androulakis

09:12 AM

(291e) Application of Machine Learning and Active Learning to Enhance Chemical Yields in Microbes
Prashant Kumar, Paul Adamczyk, Xiaolin Zhang, Parmeswaran Ramanathan, Jennifer Reed

09:30 AM

(291f) In silico and in vitro Analysis of Energy Conservation and Bifurcating Enzymes in Clostridium Thermocellum
Kristopher A. Hunt, Ross P. Carlson, Katherine J. Chou, Maness Pin-Ching, Zackary Jay

09:48 AM

(291g) Model-Guided Engineering of Microbial Biocatalysts
Jennifer Reed