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We explore the range of probabilistic behaviours that can be engineered with Chemical Reaction Networks (CRNs). We give methods to “program” CRNs so that their steady state is chosen from some desired target distribution that has finite support in $${\mathbb {N}}^m$$ Nm , with $$m \ge 1$$ m≥1 . Moreover, any distribution with countable infinite support can be approximated with arbitrarily small error...
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