- Supplementary Information of the research work
*"Robust Design of Microbial Strains"*(**Bioinformatics - Oxford J. 2012; doi: 10.1093/bioinformatics/bts590**):**supplementary_information.pdf**.

- Succinate and Acetate maximization results (2 Excel files) of the research work
*"Robust Design of Microbial Strains"*(**Bioinformatics - Oxford J. 2012; doi: 10.1093/bioinformatics/bts590**):**acetate_and_succinate_results.rar**.

- Succinate and Acetate maximization results (10 Excel files) of the research work
*"Robust Design of Microbial Strains"*(**Bioinformatics - Oxford J. 2012; doi: 10.1093/bioinformatics/bts590**):**excel supplementary tables 1-10.zip**.

In the supplementary tables, the values of acetate and succinate are expressed in mmolh-1 gdW-1, the values of biomass are expressed in h-1.

**Supplementary Table 1**: Pareto optimal solutions obtained by the 2-objective optimisation to maximise the succinate production and biomass formation in E.coli. Anaerobic condition, GLC = 10 mmolh-1 gdW-1, values in brackets represent the variation with respect to the wild type configuration.

**Supplementary Table 2**: Pareto optimal solutions obtained by the 2-objective optimisation to maximise the succinate production and biomass formation in E.coli. Anaerobic condition, GLC = 10 mmolh-1 gdW-1, values in brackets represent the variation with respect to the wild type configuration.

**Supplementary Table 3**: Pareto optimal solutions obtained by the 2-objective optimisation to maximise the acetate production and biomass formation in E.coli. Aerobic condition (O2 = 10 mmolh-1 gdW-1), GLC = 10 mmolh-1 gdW-1, values in brackets represent the variation with respect to the wild type configuration.

**Supplementary Table 4**: Pareto optimal solutions obtained by the 4-objective optimisation to maximise the acetate and succinate production, the biomass formation and to minimise the knockout cost in E.coli. Anaerobic condition, GLC = 10 mmolh-1 gdW-1, values in brackets represent the variation with respect to the wild type configuration.

**Supplementary Table 5**: Pareto optimal solutions obtained by the 2-objective optimisation to maximise the acetate and the biomass formation in E.coli Anaerobic condition, GLC = 5 mmolh-1 gdW-1, values in brackets represent the variation with respect to the wild type configuration.

**Supplementary Table 6**: Pareto optimal solutions obtained by the 4-objective optimisation to maximise the acetate and succinate production, the biomass formation and to minimise the knockout cost in E.coli Aerobic condition, GLC = 10 mmolh-1 gdW-1, values in brackets represent the variation with respect to the wild type configuration.

**Supplementary Table 7**: Pareto optimal solutions obtained by the 2-objective optimisation to maximise the acetate and the biomass formation in E.coli Aerobic condition, GLC = 5 mmolh-1 gdW-1, values in brackets represent the variation with respect to the wild type configuration.

**Supplementary Table 8**: Pareto optimal solutions obtained by the 2-objective optimisation to maximise the succinate and the biomass formation in E.coli Aerobic condition, GLC = 10 mmolh-1 gdW-1, values in brackets represent the variation with respect to the wild type configuration.

**Supplementary Table 9**: Pareto optimal solutions obtained by the 2-objective optimisation to maximise the succinate production and the biomass formation in E.coli Anaerobic condition, GLC = 5 mmolh-1 gdW-1, values in brackets represent the variation with respect to the wild type configuration.

**Supplementary Table 10**: Pareto optimal solutions obtained by the 2-objective optimisation to maximise the succinate production and the biomass formation in E.coli Aerobic condition, GLC = 5 mmolh-1 gdW-1, values in brackets represent the variation with respect to the wild type configuration.