A network of chemical species and reactions can be described by the by stochiometry matrix . is the net number of species produced or consumed in reaction . The dynamics of the network are described by
where is the vector of species concentrations, is a vector of time independent parameters, and is time.
Each structural conservation, or interchangably, conserved sum (e.g. conserved moiety) in the network coresponds to a lineraly dependent row in the stoichiometry matrix .
If there are conserved sums, then the row rank, of is , and the stochiometry matrix may first be re-ordered such that the first are linearly independent, and the remaining rows are linear combinations of the first rows. The reduced stochiometry matrix is then formed from the first rows of . Finally, may be expressed as a product of the link matrix and the matrix:
The link matrix has the form
where is the identity matrix and is a matrix.
Full vs. Extended Stoichiometry Matrix
The “full” stoichiometric matrix includes any conserved quantities (as opposed to the reduced stoichiometric matrix, which does not). The extended stoichiometric matrix is equal to the full stoichiometric matrix plus additional rows representing boundary species and sources / sinks. For example, consider the following reaction system:
reaction1: => C reaction2: C => reaction3: C => reaction4: MI => M reaction5: M => MI reaction6: XI => X reaction7: X => XI
The extended stoichiometry matrix for this system is:
>>> rr.getExtendedStoichiometryMatrix() reaction1, reaction2, reaction3, reaction4, reaction5, reaction6, reaction7 C [[ 1, -1, -1, 0, 0, 0, 0], M [ 0, 0, 0, 1, -1, 0, 0], X [ 0, 0, 0, 0, 0, 1, -1], MI [ 0, 0, 0, -1, 1, 0, 0], XI [ 0, 0, 0, 0, 0, -1, 1], reaction1_source [ -1, 0, 0, 0, 0, 0, 0], reaction2_sink [ 0, 1, 0, 0, 0, 0, 0], reaction3_sink [ 0, 0, 1, 0, 0, 0, 0]]
Methods for Stoichiometric Analysis
The following methods are related to the analysis of the stoichiometric matrix.