Session 3: Metabolic Engineering: Data and Model-Driven Approaches to Metabolic Engineering
Monday, August 3, 2015: 8:30 AM-11:30 AM
Freedom Ballroom, Mezzanine Level (Sheraton Philadelphia Downtown Hotel)
Convener:
Priti Pharkya - Genomatica, Inc., San Diego, CA
This session will focus on genome wide approaches for metabolic engineering. This includes computational algorithms for strain design as well as systems based approaches that enhance the understanding of organism at the transcriptome, proteome, fluxome levels, all aimed at increasing the production of the desired metabolite.


9:00 AM
S15
The Pathway Map Calculator: an Automated Learning Algorithm to Determine a Pathway's Optimal Expression Levels
Sean Halper, Iman Farasat and Howard Salis, Pennsylvania State University, University Park, PA
9:30 AM
Break
10:00 AM
S16
Model-based Strategies for Improving Bioprocess Yield and Robustness
Steffen Klamt, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany and Radhakrishnan Mahadevan, Department of Chemical Engineering & Applied Chemistry, University of Toronto, Toronto, ON, Canada
10:30 AM
S17
Advances in 13C metabolic flux analysis: COMPLETE-MFA
Maciek Antoniewicz, Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE
11:00 AM
S18
Principal component analysis of proteomics (PCAP) as a tool to direct metabolic engineering
Hector Garcia Martin1, Jorge Alonso Gutierrez1, Christopher Petzold2, Nathan J. Hilson3, Paul D. Adams4, Jay Keasling5 and Taek Soon Lee6, (1)Physical Biosciences Division, Berkeley National Lab, Berkeley, CA, (2)Berkeley National Lab, Berkeley, CA, (3)LBNL, Berkeley, CA, (4)Joint BioEnergy Institute, Emeryville, CA, (5)Fuels Synthesis - Synthetic Biology, Joint BioEnergy Institute, Emeryville, CA, (6)Fuels Synthesis, Joint BioEnergy Institute, Emeryville, CA
See more of: Invited Oral Papers