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README I. File descriptions 1. TOWARDZ.m - The efficient search code for translated networks with WR and ZD for given numbers of species and reactions using the pre- and post-translational filters introduced in the paper. - In the code, key steps are described in comment lines. 2. TOWARDZ_for_given.m - The efficient search code for translated network for a given network. - In the code, the two examples in the paper are given. 3. NetworkTranslation_naive.m - The naive search code for translated network with WR and ZD for given number of species and reactions. - This code does not use the pre- and post-translational filters introduced in the paper. 4. CRN_translation_v1.m - Network translation code for a given network. - It generates all possitble translated network and check WR and ZD. - This code uses the post-translational filter (Theorem 3.2) 5. CRN_translation_naive.m - Network translation code for a given network. - It generates all possitble translated network and check WR and ZD. - This code does not use the post-translational filter (Theorem 3.2) 6. CRN_countlinkage.m - This function identifies the linkageclasses for a given network using a graph search algorithm. - This is necessary to check WR and to compute a deficiency. 7. CRN_postivie_solution_optim.m - This function checks the existence of the vector with postive entries in the kernel of a given matrix. - This function utilizes an equivalent linear programming problem (Theorem 3.1 - iii). 8. de2bi_hh.m - This function converts the number in the decimal system (i.e., base 10) to the binary number (i.e., base 2). II. Figure generations 1. The relevant data for Figures 1 and 2 can be generated using TOWARDZ.m by specifying the numbers of species and reactions. 2. The examples in Figures 3 and 5 are manually chosen, and then using TOWARDZ_for_given.m, one can obtain the translated networks in Figures 4 and 6. The generalized CRN representation in Figure 7 can be derived manually.
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TranslatiOn toward WeAkly Reversible and Deficiency Zero networks
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