TY - JOUR T1 - MobsPy: A Meta-Species Language for Chemical Reaction Networks* JF - bioRxiv DO - 10.1101/2022.05.05.490768 SP - 2022.05.05.490768 AU - Fabricio Cravo AU - Matthias Függer AU - Thomas Nowak AU - Gayathri Prakash Y1 - 2022/01/01 UR - http://biorxiv.org/content/early/2022/05/05/2022.05.05.490768.abstract N2 - Chemical reaction networks are widely used to model biochemical systems. However, when the complexity of these systems increases, the chemical reaction networks are prone to errors in the initial modeling and subsequent updates of the model.We present the Meta-species-oriented Biochemical Systems Language (MobsPy), a language designed to simplify the definition of chemical reaction networks in Python. MobsPy is built around the notion of meta-species, which are sets of species that can be multiplied to create higher-dimensional orthogonal characteristics spaces and inheritance of reactions. Reactions can modify these characteristics. For reactants, queries allow to select a subset from a meta-species and use them in a reaction. For products, queries specify the dimensions in which a modification occurs. We demonstrate the simplification capabilities of the MobsPy language at the hand of a running example and a circuit from literature. The MobsPy Python package includes functions to perform both deterministic and stochastic simulations, as well as easily configurable plotting. The MobsPy package is indexed in the Python Package Index and can thus be installed via pip.Competing Interest StatementThe authors have declared no competing interest. ER -