화학공학소재연구정보센터
학회 한국화학공학회
학술대회 2013년 봄 (04/24 ~ 04/26, 광주 김대중컨벤션센터)
권호 19권 1호, p.401
발표분야 생물화공
제목 In silico analysis of the Ralstonia eutropha H16 genome-scale metabolic model
초록 Ralstonia eutropha H16 is a Gram-negative lithoautotrophic bacterium that can uses CO2 and H2 as sources of carbon and energy in the absence of organic substrates. It is the best known and most promising producer of polyhydroxyalkanoates (PHAs) from various carbon substrates. Systems metabolic engineering to improve its metabolic performance is essential to make R. eutropha H16 a more efficient and robust biofactory. Thus, we constructed the lithoautotrophic genome-scale metabolic model of R. eutropha H16 based on the annotated genome with biochemical and physiological information. The reconstructed genome-scale model, RehMBEL1391, is composed of 1391 reactions and 1171 metabolites. Furthermore, constraints-based flux analyses were applied to refine and validate the genome-scale metabolic model under environmental and genetic perturbations. [This work was supported by the Technology Development Program to Solve Climate Changes (systems metabolic engineering for biorefineries) from the Ministry of Education, Science and Technology (MEST) through the National Research Foundation of Korea (NRF-2012-C1AAA001-2012M1A2A2026556)]
저자 김원준, 박종명, 김태용, 이상엽
소속 KAIST
키워드 Ralstonia eutropha; genome-scale metabolic model
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