  Traditional mathematical models of photosynthesis are based on mass action
kinetics of light reactions. This approach requires the modeller to enumerate
all the possible state combinations of the modelled chemical species. This
leads to combinatorial explosion in the number of reactions although the
structure of the model could be expressed more compactly. We explore the use of
rule-based modelling, in particular, a simplified variant of Kappa, to
compactly capture and automatically reduce existing mathematical models of
photosynthesis. Finally, the reduction procedure is implemented in BioNetGen
language and demonstrated on several ODE models of photosynthesis processes.
This is an extended version of the paper published in proceedings of 5th
International Workshop on Static Analysis and Systems Biology (SASB) 2014.
