Session 12 - Advances In Metabolic Engineering and Bioinformatics I


Bioengineering
Session 12 - Advances In Metabolic Engineering and Bioinformatics I
Metabolic engineering is the targeted improvement of the cellular metabolic phenotype using recombinant DNA technology. Experimental and mathematical techniques that are used to characterize metabolic networks are also included. Bioinformatics tools are critical for the advancement of metabolic engineering and many other fields in biotechnology. Abstracts describing new developments in these topics are sought, and those incorporating both mathematical modeling and experimental aspects are particularly encouraged. Example areas include quantification of metabolic fluxes, inverse metabolic engineering, production of novel products, application of evolutionary techniques, construction of metabolic models from genomic data, incorporation of microarray and proteomic data and mathematical modeling of metabolism. The session is open to papers focused on any type of organism.
Chair:	Xiaoxia (Nina) Lin
CoChair:	Kenneth F. Reardon
	12a	Ensemble Modeling of Metabolic Networks and Identification of Enzyme Targets for Metabolic Engineering Matthew L. Rizk, Linh M. Tran, James C. Liao
	12b	Genome Sequencing Reveals Novel Features of Metabolism In Agrobacterium Sp Anne Ruffing, Marlene Castro, Wei-Shou Hu, Rachel Ruizhen ChEn
	12c	Microfluidic Droplets as Nanobioreactors for Screening Metabolic Engineering Libraries Benjamin L. Wang, Hang Zhou, David A. Weitz, Gregory N. Stephanopoulos
	12d	Determining the Molecular Mechanisms of Adaptive Evolution In Yeast Katy Kao, Gavin Sherlock
		Break
	12e	Exhaustive Identification of All Engineering Interventions Leading to Targeted Overproductions Sridhar Ranganathan, Patrick F. Suthers, Costas D. Maranas
	12f	Development of Efficient Organisms Using a Combination of Rational Strain Design and Metabolic Evolution Pornkamol Unrean, Cong Trinh, Friedrich Srienc
	12g	Isotopically Nonstationary ¹³C Flux Analysis of Synechocystis Photoautotrophic Metabolism Jamey D. Young, Avantika A. Shastri, Gregory Stephanopoulos, John A. Morgan

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