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Table 3 Results obtained by the greedy algorithm for the case studies

From: Natural computation meta-heuristics for the in silico optimization of microbial strains

CASE STUDY

BPCY of best solution

Number of knockouts

S. cerevisiae, succinate, aerobic

0.03260

23

E. coli, lactate, aerobic

0.00000

-

E. coli, lactate, anaerobic

0.25527

3

E. coli, succinate, aerobic

0.07779

3

  1. This table shows the results obtained by the greedy algorithm. The first column shows the details on the case study (organism, desired product, conditions); the second column states the value of the objective function (BPCY) and the last column the number of knockouts, both obtained for the best solution found.
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BMC Bioinformatics

ISSN: 1471-2105

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