482 In silico Systems Biology

Wednesday, November 16, 2016: 8:30 AM - 11:00 AM
Continental 8 (Hilton San Francisco Union Square)
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.

Engineering Fundamentals in Life Science (15D)

Mark Styczynski
Email: mark.styczynski@chbe.gatech.edu

Mark Brynildsen
Email: mbrynild@princeton.edu

8:30 AM
(482a) Constructing Predictive Kinetic Models of Metabolism for Guiding Strain Design
Ali Khodayari, Satyakam Dash, Evert K. Holwerda, Daniel Olson, Lee R. Lynd and Costas Maranas

8:48 AM
(482b) Optimizing Ensemble Modeling Framework to Generate Kinetic Models of Metabolism
Jennifer Greene, Linda J. Broadbelt and Keith E.J. Tyo

9:42 AM
(482e) Analyzing Protein Glycosylation in Mammalian Perfusion Cell Culture Using Glycosylation Flux Analysis
Sandro Hutter, Daniel Karst, Thea Schweigler, Massimo Morbidelli and Rudiyanto Gunawan

10:00 AM
See more of this Group/Topical: Food, Pharmaceutical & Bioengineering Division