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Applications of genome-scale metabolic network model in metabolic engineering.
Kim, Byoungjin,Kim, Won Jun,Kim, Dong In,Lee, Sang Yup Published by Stockton Press on behalf of the Socie 2015 Journal of industrial microbiology & biotechnology Vol.42 No.3
<P>Genome-scale metabolic network model (GEM) is a fundamental framework in systems metabolic engineering. GEM is built upon extensive experimental data and literature information on gene annotation and function, metabolites and enzymes so that it contains all known metabolic reactions within an organism. Constraint-based analysis of GEM enables the identification of phenotypic properties of an organism and hypothesis-driven engineering of cellular functions to achieve objectives. Along with the advances in omics, high-throughput technology and computational algorithms, the scope and applications of GEM have substantially expanded. In particular, various computational algorithms have been developed to predict beneficial gene deletion and amplification targets and used to guide the strain development process for the efficient production of industrially important chemicals. Furthermore, an Escherichia coli GEM was integrated with a pathway prediction algorithm and used to evaluate all possible routes for the production of a list of commodity chemicals in E. coli. Combined with the wealth of experimental data produced by high-throughput techniques, much effort has been exerted to add more biological contexts into GEM through the integration of omics data and regulatory network information for the mechanistic understanding and improved prediction capabilities. In this paper, we review the recent developments and applications of GEM focusing on the GEM-based computational algorithms available for microbial metabolic engineering.</P>
THE EFFECTIVE VOLTAGE CONTROL SCHEME OF THE INVERTER FOR A STATIC POWER SUPPLY
Byoungjin KIM,Youngsin SONG,Myoungku JI,Jongha Lee,Jaeho CHOI 전력전자학회 1998 ICPE(ISPE)논문집 Vol.- No.-
In this paper, an effective control scheme of a single phase UPS inverter is proposed to have no steady state error of the output voltage and the fast response for the load request. The cosine wave tranfer function is proposed to control the output voltage. This controller clearly removes errors of magnitude and phase both in the steady state. On the other hand, a current controller is proposed to reduce the transient time of the voltage control and to improve the bad distorted factor of the output voltage waveform by the load fluctuation and the presences of nonlinear parameters in the plant The current controller is designed parallel to the voltage controller and performs separately from it.<br/>
Metabolic engineering of<i>Escherichia coli</i>for the production of phenol from glucose
Kim, Byoungjin,Park, Hyegwon,Na, Dokyun,Lee, Sang Yup Wiley (John WileySons) 2014 Biotechnology Journal Vol.9 No.5
Phenol is an industrially versatile commodity chemical and is currently produced from fossil resources. Phenol's biological production from renewable resources has been limited due to its toxicity to microorganisms. Here, we simultaneously engineered 18 Escherichia coli strains for the production of phenol using synthetic regulatory small RNA (sRNA) technology. sRNA-based knock-down of the two regulators and overexpression of the genes involved in the tyrosine biosynthetic pathway together with tyrosine phenol-lyase (TPL) in E. coli strains resulted in the production of phenol from glucose. The 18 engineered E. coli strains showed significant differences in the production of tyrosine (i.e. the immediate precursor for phenol), TPL activity, and tolerance to phenol. Among the engineered E. coli strains, the BL21 strain produced phenol most efficiently: 419 mg/L by flask culture and 1.69 g/L by fed-batch culture. The final titer and productivity were further improved through biphasic fed-batch fermentation using glycerol tributyrate as an extractant of phenol. The concentration of phenol in the glycerol tributyrate phase and fermentation broth reached 9.84 and 0.3 g/L, respectively, in 21 hours, which translates into the final phenol titer and productivity of 3.79 g/L and 0.18 g/L/h, respectively. This is the highest titer achieved by microbial fermentation. Although further engineering is required to be competitive with the current petro-based process, the strategies used for the development of the engineered strain and fermentation process will provide a valuable framework for the microbial production of toxic chemicals.
UPS inverter의 2차 데드비트 응답을 위한 반복부하예측기법
김병진(Byoungjin KIM),최재호(JaeHo CHOI) 전력전자학회 2000 전력전자학술대회 논문집 Vol.2000 No.11
Repetitive Load Prediction is proposed for the UPS inverter application of the second order deadbeat controller which is robust against the calculation time delay and the parameter variation and which gets fast response against the load variation. The proposed technique predicts the load current ahead of two sampling time using that the load current is periodic. This is effective under nonlinear load condition. The proposed technique is derived theoretically and verified through simulation and experimental result.