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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
Hahn 1987	Photosynthesis and Photorespiration
Lazar 1997	Fluorescence induction

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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Source Distribution

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