TY - JOUR
T1 - A review of computational tools for design and reconstruction of metabolic pathways
AU - Wang, Lin
AU - Dash, Satyakam
AU - Ng, Chiam Yu
AU - Maranas, Costas D.
N1 - Publisher Copyright:
© 2017 The Authors
PY - 2017/12
Y1 - 2017/12
N2 - Metabolic pathways reflect an organism's chemical repertoire and hence their elucidation and design have been a primary goal in metabolic engineering. Various computational methods have been developed to design novel metabolic pathways while taking into account several prerequisites such as pathway stoichiometry, thermodynamics, host compatibility, and enzyme availability. The choice of the method is often determined by the nature of the metabolites of interest and preferred host organism, along with computational complexity and availability of software tools. In this paper, we review different computational approaches used to design metabolic pathways based on the reaction network representation of the database (i.e., graph or stoichiometric matrix) and the search algorithm (i.e., graph search, flux balance analysis, or retrosynthetic search). We also put forth a systematic workflow that can be implemented in projects requiring pathway design and highlight current limitations and obstacles in computational pathway design.
AB - Metabolic pathways reflect an organism's chemical repertoire and hence their elucidation and design have been a primary goal in metabolic engineering. Various computational methods have been developed to design novel metabolic pathways while taking into account several prerequisites such as pathway stoichiometry, thermodynamics, host compatibility, and enzyme availability. The choice of the method is often determined by the nature of the metabolites of interest and preferred host organism, along with computational complexity and availability of software tools. In this paper, we review different computational approaches used to design metabolic pathways based on the reaction network representation of the database (i.e., graph or stoichiometric matrix) and the search algorithm (i.e., graph search, flux balance analysis, or retrosynthetic search). We also put forth a systematic workflow that can be implemented in projects requiring pathway design and highlight current limitations and obstacles in computational pathway design.
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U2 - 10.1016/j.synbio.2017.11.002
DO - 10.1016/j.synbio.2017.11.002
M3 - Review article
C2 - 29552648
AN - SCOPUS:85047224318
SN - 2405-805X
VL - 2
SP - 243
EP - 252
JO - Synthetic and Systems Biotechnology
JF - Synthetic and Systems Biotechnology
IS - 4
ER -