title: Comparison of metabolite production capability indices generated by network analysis methods.
abstract: A framework of constraint-based reconstruction and analysis (COBRA) is used for modeling large-scale metabolic networks. In COBRA, extreme pathway and optimization analyses are commonly used to study the properties of networks. While the results of both methods are completely consistent, extreme pathway analysis is considered to be better because of its wider representational ability. In this study, we assessed these two methods by computational knockout experiments. We examined a simple pathway model and found that the extreme pathway method led to misguided conclusions in specific cases, while optimization analysis calculated the correct knockout effects. We also investigated the Escherichia coli metabolic pathway model, and found that these methods result in inconsistent interpretations of the network properties.
  
  
  CONCLUSIONS
  it has been claimed that these two methods result in the same producible metabolites, but we found a difference in individual results for a biological pathway. Our results could provide helpful guidance for when to use the methods, particularly extreme pathway analysis.
authors: Institute for Advanced Biosciences, Keio University, Fujisawa, Kanagawa 252-8520, Japan. kyota@sfc.keio.ac.jp
authors: Kyota
authors: K
authors: Ishii
authors: Seira
authors: S
authors: Nakamura
authors: Mineo
authors: M
authors: Morohashi
authors: Masahiro
authors: M
authors: Sugimoto
authors: Yoshiaki
authors: Y
authors: Ohashi
authors: Shinichi
authors: S
authors: Kikuchi
authors: Masaru
authors: M
authors: Tomita
mesh_terms: D001669:Biochemical Phenomena; D001671:Biochemistry; D003198:Computer Simulation; D008954:Models, Biological