scientific seminar - bcam - basque center for applied …€¦ ·  · 2016-04-27quantitative...

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May 17, 2016 16:00-17:00 Hector GARCIA MARTIN, Director, Quantitative Metabolic Modeling Joint BioEnergy Institute (JBEI), CA, USA QUANTITATIVE METABOLIC MODELING FOR BIOFUEL PRODUCTION AT THE JOINT BIOENERGY INSTITUTE The goal of the Joint BioEnergy Institute (JBEI) is to produce fundamental scientific discoveries to enable the development of commercially viable processes for large-scale conversion of lignocellulosic biomass into fuels. The Quantitative Metabolic Modeling (QMM) directorate at the Fuels Synthesis Division is devoted to developing models of metabolism which are both quantitative and predictive, in order to improve biofuel production in a rationally directed fashion. We will describe how the QMM directorate fits in the general JBEI strategy and how we use experimental, computational and mathematical tools to achieve our goal. We will first show how the use of 13C labeling data allows us to make quantitative predictions of metabolism through the two-scale 13C metabolic flux analysis (2S-13C MFA) method. Secondly, we will show how we used quantitative proteomic data us to increase the production titers of limonene, a biofuel molecule. Finally, we will present new web-based tools for data storage and flux visualization. Mazarredo 14 , 48009 Bilbao, Basque Country, Spain www.bcamath.org Scientific Seminar

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May 17, 2016 16:00-17:00

Hector GARCIA MARTIN, Director, Quantitative Metabolic Modeling Joint BioEnergy Institute (JBEI), CA, USA

QUANTITATIVE METABOLIC MODELING FOR BIOFUEL PRODUCTION AT THE JOINT BIOENERGY INSTITUTE

The goal of the Joint BioEnergy Institute (JBEI) is to produce fundamental scientific discoveries to enable the development of commercially viable processes for large-scale conversion of lignocellulosic biomass into fuels.The  Quantitative  Metabolic  Modeling  (QMM) directorate at the  Fuels  Synthesis Division is devoted to developing  models  of metabolism which are both  quantitative  and predictive, in order to improve biofuel  production in a rationally directed fashion. We will describe how the QMM directorate fits in the general  JBEI  strategy and how we use experimental, computational and mathematical tools to achieve our goal. We will first show how the use of  13C labeling data allows us to make  quantitative  predictions of metabolism through the two-scale 13C metabolic flux analysis (2S-13C MFA) method. Secondly, we will show how we used  quantitative  proteomic data us to increase the production titers of limonene, a biofuel molecule. Finally, we will present new web-based tools for data storage and flux visualization.

Mazarredo14,48009Bilbao,BasqueCountry,Spain www.bcamath.org

Scientific Seminar