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. 2012 Nov 1;8(11):e1002762. doi: 10.1371/journal.pcbi.1002762

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© 2012 Seaver et al

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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We show, for 3000 randomly generated complex media containing sugars, fatty acids, bases, and amino acids (see Methods), the prediction for the biomass production as a function of the actual in silico growth. We show the results for E. coli, B. subtilis, S. cerevisiae, H. pylori, and M. tuberculosis. The dashed lines represent a regression of the predicted biomass production versus experimental in silico production. We obtain: K = 0.76 for E. coli, K = 0.62 for B. subtilis, K = 0.84 for S. cerevisiae, K = 1.10 for H. pylori, and K = 0.92 for M. tuberculosis.

Inline graphic — We show, for 3000 randomly generated complex media containing sugars, fatty acids, bases, and amino acids (see Methods), the prediction for the biomass production as a function of the actual in silico growth. We show the results for E. coli, B. subtilis, S. cerevisiae, H. pylori, and M. tuberculosis. The dashed lines represent a regression of the predicted biomass production versus experimental in silico production. We obtain: K = 0.76 for E. coli, K = 0.62 for B. subtilis, K = 0.84 for S. cerevisiae, K = 1.10 for H. pylori, and K = 0.92 for M. tuberculosis.