MxlBricks is a Python package to build mechanistic models composed of pre-defined reactions (bricks). This facilitates re-use and interoperability between different models by sharing common parts.
You can install mxlpy using pip: pip install mxlmodels.
Done. Simple as that.
| Name | Description |
|---|---|
| Ebenhöh 2011 | PSII & two-state quencher & ATP synthase |
| Ebenhöh 2014 | PETC & state transitions & ATP synthase from Ebenhoeh 2011 |
| Matuszyńska 2016 NPQ | 2011 + PSII & four-state quencher |
| Matuszyńska 2016 PhD | ? |
| Matuszyńska 2019 | Merges PETC (Ebenhöh 2014), NPQ (Matuszynska 2016) and CBB (Poolman 2000) |
| Saadat 2021 | 2019 + Mehler (Valero ?) & Thioredoxin & extendend PSI states & consumption |
| van Aalst 2023 | Saadat 2021 & Yokota 1985 & Witzel 2010 |
| Name | Description |
|---|---|
| Poolman 2000 | CBB cycle, based on Pettersson & Ryde-Pettersson 1988 |
| Yokota 1985 | Photorespiration |
| Valero ? |
MxlBricks is part of a larger family of tools that are designed with a similar set of abstractions. Check them out!
- MxlPy is a Python package for mechanistic learning (Mxl)
- MxlModels supplies flat, single-file versions of MxlBricks models for easy inspection
- MxlWeb brings simulation of mechanistic models to the browser!
- pysbml simplifies SBML models for import/export with MxlPy
- Parameteriser looks up kinetic parameters from BRENDA and other databases