Recent advances in reconstruction and applications of genome-scale metabolic models

被引:128
作者
Kim, Tae Yong [1 ,2 ]
Sohn, Seung Bum [1 ,2 ]
Kim, Yu Bin [1 ,2 ]
Kim, Won Jun [1 ,2 ]
Lee, Sang Yup [1 ,2 ,3 ]
机构
[1] Korea Adv Inst Sci & Technol, Metab & Biomol Engn Natl Res Lab, Dept Chem & Biomol Engn,Inst BioCentury, Ctr Syst & Synthet Biotechnol,Program BK21, Taejon 305701, South Korea
[2] Korea Adv Inst Sci & Technol, BioInformat Res Ctr, Taejon 305701, South Korea
[3] Korea Adv Inst Sci & Technol, BioProc Engn Res Ctr, Dept Bio & Brain Engn, Taejon 305701, South Korea
基金
新加坡国家研究基金会;
关键词
FLUX COUPLING ANALYSIS; ESCHERICHIA-COLI; TRANSCRIPTIONAL REGULATION; NETWORK; OPTIMIZATION; FRAMEWORK; BALANCE; TARGETS;
D O I
10.1016/j.copbio.2011.10.007
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
In the last decade, reconstruction and applications of genome-scale metabolic models have greatly influenced the field of systems biology by providing a platform on which high-throughput computational analysis of metabolic networks can be performed. The last two years have seen an increase in volume of more than 33% in the number of published genome-scale metabolic models, signifying a high demand for these metabolic models in studying specific organisms. The diversity in modeling different types of cells, from photosynthetic microorganisms to human cell types, also demonstrates their growing influence in biology. Here we review the recent advances and current state of genome-scale metabolic models, the methods employed towards ensuring high quality models, their biotechnological applications, and the progress towards the automated reconstruction of genome-scale metabolic models.
引用
收藏
页码:617 / 623
页数:7
相关论文
共 49 条
[1]   Identifying gene targets for the metabolic engineering of lycopene biosynthesis in Escherichia coli [J].
Alper, H ;
Jin, YS ;
Moxley, JF ;
Stephanopoulos, G .
METABOLIC ENGINEERING, 2005, 7 (03) :155-164
[2]   Enhancing sesquiterpene production in Saccharomyces cerevisiae through in silico driven metabolic engineering [J].
Asadollahi, Mohammad A. ;
Maury, Jerome ;
Patil, Kiran Raosaheb ;
Schalk, Michel ;
Clark, Anthony ;
Nielsen, Jens .
METABOLIC ENGINEERING, 2009, 11 (06) :328-334
[3]   An Automated Phenotype-Driven Approach (GeneForce) for Refining Metabolic and Regulatory Models [J].
Barua, Dipak ;
Kim, Joonhoon ;
Reed, Jennifer L. .
PLOS COMPUTATIONAL BIOLOGY, 2010, 6 (10)
[4]   Energy balance for analysis of complex metabolic networks [J].
Beard, DA ;
Liang, SC ;
Qian, H .
BIOPHYSICAL JOURNAL, 2002, 83 (01) :79-86
[5]   Intracellular crowding defines the mode and sequence of substrate uptake by Escherichia coli and constrains its metabolic activity [J].
Beg, Q. K. ;
Vazquez, A. ;
Ernst, J. ;
de Menezes, M. A. ;
Bar-Joseph, Z. ;
Barabasi, A.-L. ;
Oltvai, Z. N. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2007, 104 (31) :12663-12668
[6]   OptKnock: A bilevel programming framework for identifying gene knockout strategies for microbial strain optimization [J].
Burgard, AP ;
Pharkya, P ;
Maranas, CD .
BIOTECHNOLOGY AND BIOENGINEERING, 2003, 84 (06) :647-657
[7]   Flux coupling analysis of genome-scale metabolic network reconstructions [J].
Burgard, AP ;
Nikolaev, EV ;
Schilling, CH ;
Maranas, CD .
GENOME RESEARCH, 2004, 14 (02) :301-312
[8]   The use of genome scale metabolic flux variability analysis for process feed formulation based on an investigation of the effects of the zwf mutation on antibiotic production in Streptomyces coelicolor [J].
Bushell, Michael E. ;
Sequeira, Susana I. P. ;
Khannapho, Chiraphan ;
Zhao, Hongjuan ;
Chater, Keith F. ;
Butler, Michael J. ;
Kierzek, Andrzej M. ;
Avignone-Rossa, Claudio A. .
ENZYME AND MICROBIAL TECHNOLOGY, 2006, 39 (06) :1347-1353
[9]   Metabolic network reconstruction of Chlamydomonas offers insight into light-driven algal metabolism [J].
Chang, Roger L. ;
Ghamsari, Lila ;
Manichaikul, Ani ;
Hom, Erik F. Y. ;
Balaji, Santhanam ;
Fu, Weiqi ;
Shen, Yun ;
Hao, Tong ;
Palsson, Bernhard O. ;
Salehi-Ashtiani, Kourosh ;
Papin, Jason A. .
MOLECULAR SYSTEMS BIOLOGY, 2011, 7
[10]   In Silico Identification of Gene Amplification Targets for Improvement of Lycopene Production [J].
Choi, Hyung Seok ;
Lee, Sang Yup ;
Kim, Tae Yong ;
Woo, Han Min .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2010, 76 (10) :3097-3105