Quantifying cumulative phenotypic and genomic evidence for procedural generation of metabolic network reconstructions
Fig 2
Data Guided Flux Balance Analysis.
(A) Distribution of reaction bitscores for E. coli K-12. (B) This figure is a visual representation of the transformation function for calculating the reaction weights based on reaction bitscores. The reaction bitscore of 500 corresponds with zero in the weight space. (C) Distribution of the calculated weights for forward reactions. (D) The distribution of weights for reverse reactions shows that there are far fewer reactions that allow flux in both directions or only in the reverse direction. (E) Data Guided Flux Balance Analysis optimization problem. Reactions with a positive weight are maximized and reactions with a negative weight are minimized proportional to the value of the weight. (F) Toy network example demonstrating the flux-carrying reactions that would result from the pictured annotation evidence distribution and media inputs.