TY - JOUR
T1 - Computational tools for metabolic engineering
AU - Copeland, Wilbert B.
AU - Bartley, Bryan A.
AU - Chandran, Deepak
AU - Galdzicki, Michal
AU - Kim, Kyung H.
AU - Sleight, Sean C.
AU - Maranas, Costas D.
AU - Sauro, Herbert M.
N1 - Funding Information:
This work was supported by the following generous contributions: NSF Graduate Research Fellowship to WBC; NSF (no. 0827592 ) in Theoretical Biology to BAB and KHK ; NIH/NIGMS ( GM076692 ) to DC; NHGRI ( R42HG006737 ) and NLM ( R41LM010745 ) to MG; BEACON: NSF Center for the Study of Evolution in Action ( 0939454 ) to SCS; and NIH/NIGMS ( GM081070 ) and NSF (no. 0827592 ) to HMS. The funders had no role in the decision to publish, or in the preparation of the manuscript.
PY - 2012/5
Y1 - 2012/5
N2 - A great variety of software applications are now employed in the metabolic engineering field. These applications have been created to support a wide range of experimental and analysis techniques. Computational tools are utilized throughout the metabolic engineering workflow to extract and interpret relevant information from large data sets, to present complex models in a more manageable form, and to propose efficient network design strategies. In this review, we present a number of tools that can assist in modifying and understanding cellular metabolic networks. The review covers seven areas of relevance to metabolic engineers. These include metabolic reconstruction efforts, network visualization, nucleic acid and protein engineering, metabolic flux analysis, pathway prospecting, post-structural network analysis and culture optimization. The list of available tools is extensive and we can only highlight a small, representative portion of the tools from each area.
AB - A great variety of software applications are now employed in the metabolic engineering field. These applications have been created to support a wide range of experimental and analysis techniques. Computational tools are utilized throughout the metabolic engineering workflow to extract and interpret relevant information from large data sets, to present complex models in a more manageable form, and to propose efficient network design strategies. In this review, we present a number of tools that can assist in modifying and understanding cellular metabolic networks. The review covers seven areas of relevance to metabolic engineers. These include metabolic reconstruction efforts, network visualization, nucleic acid and protein engineering, metabolic flux analysis, pathway prospecting, post-structural network analysis and culture optimization. The list of available tools is extensive and we can only highlight a small, representative portion of the tools from each area.
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U2 - 10.1016/j.ymben.2012.03.001
DO - 10.1016/j.ymben.2012.03.001
M3 - Article
C2 - 22629572
AN - SCOPUS:84862777085
SN - 1096-7176
VL - 14
SP - 270
EP - 280
JO - Metabolic engineering
JF - Metabolic engineering
IS - 3
ER -