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Table 2 Average execution time for AutoKEGGRec within Matlab 2017b on a Dell Latitude 7490 with an I7-7600U using 2-core-parallelization

From: Automated generation of genome-scale metabolic draft reconstructions based on KEGG

Tested strains incl. number of organisms

Mean runtime [s]

Reactions/metabolites

Giant component [#, %]

E. coli K-12, 5 KEGG IDs

2,995±65

1226/1188

1215/99.10%

P. putida, 12 KEGG IDs

3,957±166

1412/1445

1400/99.15%

B. subtilis, 15 KEGG IDs

3,538±216

1108/1134

1103/99.55%

E. coli, 20 KEGG IDs

4,792±289

1342/1302

1331/99.18%

E. coli, 25 KEGG IDs

5,618±322

1351/1312

1340/99.19%

E. coli, 30 KEGG IDs

6,724±130

1354/1316

1343/99.19%

E. coli, 35 KEGG IDs

7,750±208

1358/1319

1347/99.19%

E. coli, 40 KEGG IDs

9,115±198

1359/1321

1348/99.19%

E. coli, 45 KEGG IDs

10,032±651

1359/1321

1348/99.19%

E. coli, 50 KEGG IDs

11,466±1,065

1359/1321

1348/99.19%

E. coli, 55 KEGG IDs

12,687±1,269

1359/1321

1348/99.19%

E. coli, 60 KEGG IDs

13,848±1,658

1359/1321

1348/99.19%

E. coli, 65 KEGG IDs

15,082±1,850

1360/1323

1349/99.19%

  1. The columns are: a specification of the queried organisms, the mean and standard deviation runtime (five separate software executions) per dataset using ConsolidatedRec, SingleRecs, CommunityRec, OrgRxnGen, OmittedData and DisconnectedReactions as optional flags, the number of reactions and metabolites in the consolidated FDR and the number and fraction of reactions in the consolidated network’s giant component