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Table 1 Comparison of the time cost of metabolic modeling between FastMM and other software using Gurobi solver

From: FastMM: an efficient toolbox for personalized constraint-based metabolic modeling

Applications

COBRA 3.0

Cobrapy

fastFVA

Fast-SL

FastMM

FVA

$183 s

99 s

**85 s

\

***80 s

SingleGeneKO

19 s

15 s

\

21 s

9 s

DoubleGeneKO

118,570 s

*2324 s

\

3161 s

260 s

SingleMetKO

\

\

\

\

8 s

DoubleMetKO

\

\

\

\

578 s

MCMC

2185 s

\

\

\

254 s

  1. Note: The consistent general human metabolic model Recon 2.03 (5317 reaction, 2960 metabolites, and 2194 genes) was used in the analyses. The symbols of “s” represents seconds. MCMC sampling uses the parameter of points of 2000, and steps of 1000. All FastMM applications used one CPU cores, other software used default parameters. \: not available for the corresponding applications. $: COBRA 3.0 used 4 CPU cores to perform flux variability analysis. *: Cobrapy used 4 CPU cores to perform double gene knockout. **: fastFVA do not support the Gurobi solver, the time cost (85 s) was calculated using GLPK solver. ***: FastMM consumed 80 and 107 s to conduct flux variability analysis using Gurobi and GLPK solver, respectively