MxlModels is a Python package of reference mechanistic models.
Project description
MxlModels
MxlModels is a Python package of reference mechanistic models.
It contains the same models as in the MxlBricks repo, but written as single, flat files to make inspection easier.
Usually, these here will be created by codegen from MxlBricks.
Installation
You can install mxlpy using pip: pip install mxlmodels.
Done. Simple as that.
Models
| Name | Description |
|---|---|
| Yokota 1985 | Photorespiration |
| Poolman 2000 | CBB cycle, based on Pettersson & Ryde-Pettersson 1988 |
| 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 |
| Ebeling 2026 | unpublishd |
Tool family 🏠
MxlModels 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)
- MxlBricks is a Python package to build mechanistic models composed of pre-defined reactions (bricks)
- 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
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