title: Comparing methods for metabolic network analysis and an application to metabolic engineering.
abstract: Bioinformatics tools have facilitated the reconstruction and analysis of cellular metabolism of various organisms based on information encoded in their genomes. Characterization of cellular metabolism is useful to understand the phenotypic capabilities of these organisms. It has been done quantitatively through the analysis of pathway operations. There are several in silico approaches for analyzing metabolic networks, including structural and stoichiometric analysis, metabolic flux analysis, metabolic control analysis, and several kinetic modeling based analyses. They can serve as a virtual laboratory to give insights into basic principles of cellular functions. This article summarizes the progress and advances in software and algorithm development for metabolic network analysis, along with their applications relevant to cellular physiology, and metabolic engineering with an emphasis on microbial strain optimization. Moreover, it provides a detailed comparative analysis of existing approaches under different categories.
authors.affiliation: Machine Intelligence Unit, Indian Statistical Institute, 203 B.T. Road, Kolkata 700108, India. namrata_t@isical.ac.in
authors.forename: Namrata
authors.initials: N
authors.lastname: Tomar
authors.forename: Rajat K
authors.initials: RK
authors.lastname: De
mesh_terms: D000465:Algorithms; D002468:Cell Physiological Phenomena; D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D062126:Databases, Chemical; D030541:Databases, Genetic; D004798:Enzymes / Q000378:metabolism; D007700:Kinetics; D060847:Metabolic Engineering / Q000379:methods*; D053858:Metabolic Networks and Pathways; D008954:Models, Biological; D008962:Models, Theoretical
chemical_list: D004798:Enzymes