Prediction stability in a data-based, mechanistic model of σF regulation during sporulation in Bacillus subtilis

  title={Prediction stability in a data-based, mechanistic model of $\sigma$F regulation during sporulation in Bacillus subtilis},
  author={Georgios Fengos and Dagmar Iber},
  journal={Scientific Reports},
Mathematical modeling of biological networks can help to integrate a large body of information into a consistent framework, which can then be used to arrive at novel mechanistic insight and predictions. We have previously developed a detailed, mechanistic model for the regulation of σ F during sporulation in Bacillus subtilis. The model was based on a wide range of quantitative data, and once fitted to the data, the model made predictions that could be confirmed in experiments. However, the… 
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  • D. Iber
  • Biology
    Molecular systems biology
  • 2006
A previously described quantitative model of the network that controls the transcription factor σF during sporulation in Bacillus subtilis is employed to quantify the benefits arising from both organization of the sporulation genes into the spoIIA operon and from translational coupling.
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