About ===== *BioMASS* is a computational framework for modeling and analysis of biological signaling systems in Python. It provides useful tools for model construction, numerical simulation, parameter estimation, network analysis, and result visualization. Example ------- Text file (``michaelis_menten.txt``): .. code-block:: :linenos: E + S ⇄ ES | kf=0.003, kr=0.001 | E=100, S=50 ES → E + P | kf=0.002 @obs Substrate: u[S] @obs E_free: u[E] @obs E_total: u[E] + u[ES] @obs Product: u[P] @obs Complex: u[ES] @sim tspan: [0, 100] Text-to-model conversion: .. code-block:: python >>> from biomass import Text2Model, create_model, run_simulation >>> description = Text2Model("michaelis_menten.txt") >>> description.convert() Model information ----------------- 2 reactions 4 species 4 parameters >>> model = create_model("michaelis_menten") >>> run_simulation(model) Output: .. image:: https://raw.githubusercontent.com/pasmopy/pasmopy/master/docs/_static/img/michaelis_menten_sim.png For an advanced model, see `a mechanistic model of the c-Fos expression network dynamics `_. License ------- The software is released under the `Apache License 2.0 `_. For details, see the `LICENSE `_ file in the biomass repository. Author ------ `Hiroaki Imoto `_ Contact ------- Please contact me with any questions or comments via `Issues`_ | `Discussions`_ on GitHub. You can also always send me an `email `_. Any contributions to BioMASS are more than welcome! .. _Issues: https://github.com/biomass-dev/biomass/issues .. _Discussions: https://github.com/biomass-dev/biomass/discussions