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MxlBricks is a Python package to quickly build large mechanistic models

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MxlBricks

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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.

Installation

You can install mxlpy using pip: pip install mxlmodels.

Done. Simple as that.

Models

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

References

Name Description
Poolman 2000 CBB cycle, based on Pettersson & Ryde-Pettersson 1988
Yokota 1985 Photorespiration
Valero ?

Tool family 🏠

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

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