ML-Rules is a multi-level rule-based modeling formalism to model biochemical reaction networks. This repository contains the current version of ML-Rules supporting not only nested and attributed species, but also functions on attributes and functions on solutions. Further, ML-Rules supports arbitrary reaction kinetics. ML-Rules is implemented as an external domain-specific language using ANTLR4. Various simulators are available to execute models stochastically (using the SSA or tailored simulators), deterministically (if possible), or in a hybrid manner.
References in zbMATH (referenced in 1 article )
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- Hillston, Jane: Replicated computations results (RCR) report for “Semantics and efficient simulation algorithms for an expressive multi-level modeling language” (2017)