13CFLUX2-high-performance software suite for 13C-metabolic flux analysis

被引:146
作者
Weitzel, Michael [1 ,2 ]
Noeh, Katharina [1 ,2 ]
Dalman, Tolga [1 ,2 ]
Niedenfuehr, Sebastian [1 ,2 ]
Stute, Birgit [1 ,2 ]
Wiechert, Wolfgang [1 ,2 ]
机构
[1] Forschungszentrum Julich, Inst Bio & Geosci, IBG Biotechnol 1, D-52428 Julich, Germany
[2] Forschungszentrum Julich, JARA High Performance Comp, D-52428 Julich, Germany
关键词
METABOLIC NETWORKS; C-13;
D O I
10.1093/bioinformatics/bts646
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
C-13-based metabolic flux analysis (C-13-MFA) is the state-of-the-art method to quantitatively determine in vivo metabolic reaction rates in microorganisms. 13CFLUX2 contains all tools for composing flexible computational C-13-MFA workflows to design and evaluate carbon labeling experiments. A specially developed XML language, FluxML, highly efficient data structures and simulation algorithms achieve a maximum of performance and effectiveness. Support of multicore CPUs, as well as compute clusters, enables scalable investigations. 13CFLUX2 outperforms existing tools in terms of universality, flexibility and built-in features. Therewith, 13CFLUX2 paves the way for next-generation high-resolution C-13-MFA applications on the large scale.
引用
收藏
页码:143 / 145
页数:3
相关论文
共 16 条
[1]   Elementary metabolite units (EMU): A novel framework for modeling isotopic distributions [J].
Antoniewicz, Maciek R. ;
Kelleher, Joanne K. ;
Stephanopoulos, Gregory .
METABOLIC ENGINEERING, 2007, 9 (01) :68-86
[2]  
Atkinson AC, 1992, OPTIMUM EXPT DESIGNS, DOI [10.1007/978-3-642-04898-2_434, DOI 10.1007/978-3-642-04898-2_434]
[3]   BioMet Toolbox: genome-wide analysis of metabolism [J].
Cvijovic, Marija ;
Olivares-Hernandez, Roberto ;
Agren, Rasmus ;
Dahr, Niklas ;
Vongsangnak, Wanwipa ;
Nookaew, Intawat ;
Patil, Kiran Raosaheb ;
Nielsen, Jens .
NUCLEIC ACIDS RESEARCH, 2010, 38 :W144-W149
[4]   Visualizing multi-omics data in metabolic networks with the software Omix-A case study [J].
Droste, Peter ;
Miebach, Stephan ;
Niedenfuehr, Sebastian ;
Wiechert, Wolfgang ;
Noeh, Katharina .
BIOSYSTEMS, 2011, 105 (02) :154-161
[5]   Structure-based profiling of metabolites and isotopomers by NMR [J].
Fan, Teresa W. -M. ;
Lane, Andrew N. .
PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY, 2008, 52 (2-3) :69-117
[6]   OpenFLUX: efficient modelling software for 13C-based metabolic flux analysis [J].
Quek, Lake-Ee ;
Wittmann, Christoph ;
Nielsen, Lars K. ;
Kromer, Jens O. .
MICROBIAL CELL FACTORIES, 2009, 8
[7]   Metabolic networks in motion:: 13C-based flux analysis [J].
Sauer, Uwe .
MOLECULAR SYSTEMS BIOLOGY, 2006, 2 (1)
[8]   influx_s: increasing numerical stability and precision for metabolic flux analysis in isotope labelling experiments [J].
Sokol, Serguei ;
Millard, Pierre ;
Portais, Jean-Charles .
BIOINFORMATICS, 2012, 28 (05) :687-693
[9]   Quantification of compartmented metabolic fluxes in developing soybean embryos by employing Biosynthetic ally directed fractional 13C labeling, [13C, 1H] two-dimensional nuclear magnetic resonance, and comprehensive isotopomer balancing [J].
Sriram, G ;
Fulton, DB ;
Iyer, VV ;
Peterson, JM ;
Zhou, RL ;
Westgate, ME ;
Spalding, MH ;
Shanks, JV .
PLANT PHYSIOLOGY, 2004, 136 (02) :3043-3057
[10]   Fluxomers: a new approach for 13C metabolic flux analysis [J].
Srour, Orr ;
Young, Jamey D. ;
Eldar, Yonina C. .
BMC SYSTEMS BIOLOGY, 2011, 5