Models
What is a Model?Filters
We recommend to use a virtual environment with a python 3.11 distribution to reproduce our results. Using anaconda and the environment file eulerpi_env.yml, the working virtual environment is set up through the prompt
conda env create -f eulerpi_env.yml
The environment file eulerpi_env.yml contains a human-readable list of all required dependencies. Consequently, these dependencies can also be installed manually.
In addition to this README and the environment file, the downloaded .zip ...
Creator: Vincent Wagner
Submitter: Vincent Wagner
Model type: Not specified
Model format: Not specified
Environment: Not specified
HSD11B1 inhibition by AZD4017 and the effect on cortisone and 11KA4 metabolism was simulated in Mathematica. Figure 6 of the manuscript is reproduced in the notebook.
Creator: Jacky Snoep
Submitter: Jacky Snoep
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Mathematica
Mathematica notebook for simulation of combined effect of HSD11B1/AKR1C3 ratio variation and HSD11B1 inhibition, surface plots are generated shown in Fig. 4 of the manuscript.
Creator: Jacky Snoep
Submitter: Jacky Snoep
Model type: Ordinary differential equations (ODE)
Model format: Not specified
Environment: Mathematica
HSD11B1 was inhibited by CBX and the effect on cortisone and 11KA4 conversion was simulated. Model simulated in Mathematica, Figure 3 panels are presented.
Creator: Jacky Snoep
Submitter: Jacky Snoep
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Mathematica
Mathematica notebook with model simulation of metabolite profiles after 24h incubation with different ratios of HSD11B1 and AKR1C3 transfected HEK293 cells.
Creator: Jacky Snoep
Submitter: Jacky Snoep
Model type: Ordinary differential equations (ODE)
Model format: Not specified
Environment: Mathematica
Creator: Vincent Wagner
Submitter: Vincent Wagner
Model type: Not specified
Model format: Not specified
Environment: Not specified
First version of Genome-scale metabolic model (GEM) for reconstraction of flavonoids biosynthetic pathways. This model includes as a chassis , the Pseudomonas Putida GEM (iJN1411) . It includes the metabolic reconstruction of more than 500 flavonoids and more than 500 reactions related to the flavonoid biosynthesis.
Creators: David San León Granado, Juan Nogales, Álvaro Gargantilla Becerra
Submitter: David San León Granado
Model type: Metabolic network
Model format: SBML
Environment: Matlab
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: SBML
Environment: JWS Online
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: SBML
Environment: JWS Online
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: SBML
Environment: JWS Online
This folder contains the python code for developing weighted loss trainer (WeLT) with all the expiremnatal work. Here is the link for our public [GitHub repository] (https://github.com/mobashgr/WELT.git).
Creator: Ghadeer Mobasher
Submitter: Ghadeer Mobasher
Model type: Not specified
Model format: Python code
Environment: Not specified
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Not specified
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Mathematica
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Mathematica
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Mathematica
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Mathematica
The FEM models how metabolic slowdown will induce the age-related changes of weight gain, insulin resistance, basal inflammation, mitochondrial dysfunction, as well as the age-related disease of atherosclerosis, via a series of unavoidable homeostatic shifts.
Creators: James Wordsworth, Pernille Yde Nielsen
Submitter: James Wordsworth
Model type: Ordinary differential equations (ODE)
Model format: R package
Environment: Not specified
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Mathematica
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Mathematica
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Not specified
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Mathematica
Underlying R script for the investigation of immune cells. Script contains basic data processing, as well as a DE and monocle analysis.
Creator: Markus Wolfien
Submitter: Markus Wolfien
Model type: Not specified
Model format: Not specified
Environment: Not specified
Adjusted model to test the model's ability to oxygen consumption rate by permeabilised HepG2 cells in an Oroboros oxygraph. Data from Fletcher et al. (2019).
Creators: Christoff Odendaal, Emmalie Jager, Terry G.J. Derks, Barbara Bakker
Submitter: Christoff Odendaal
Model type: Ordinary differential equations (ODE)
Model format: SBML
Environment: JWS Online
Adjusted model to test the model's ability to predict palmitoyl-CoA and octanoyl-CoA dehydrogenation in human liver lysate, with and without anti-MCAD and anti-VLCAD antibodies. Data from Aoyama et al. (1995).
Creators: Christoff Odendaal, Barbara Bakker, Emmalie Jager, Terry G.J. Derks
Submitter: Christoff Odendaal
Model type: Ordinary differential equations (ODE)
Model format: SBML
Environment: JWS Online
Human mitochondrial fatty acid oxidation of saturated, even chain acyl-Coas beginning at C16. See Model description for detail.
Creators: Christoff Odendaal, Emmalie Jager, Barbara Bakker, Terry G.J. Derks
Submitter: Christoff Odendaal
Model type: Ordinary differential equations (ODE)
Model format: SBML
Environment: JWS Online
Unzip model notebooks and keep in the same folder. Notebook names state which notebooks need to be run before them in order for them to word, e.g. "[needs-(1)]" indicates that the notebook numbered 1 must be run and its exported output generated before the given notebook can work. This has to do with the model being generated in only one notebook to avoid duplication.
Creators: Christoff Odendaal, Barbara Bakker, Emmalie Jager, Terry G.J. Derks
Submitter: Christoff Odendaal
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Mathematica
Creator: Vincent Wagner
Submitter: Vincent Wagner
Model type: Not specified
Model format: Not specified
Environment: Not specified
The folder contains the jupyter notebook for the execution of all analyses of the study. The BEST method is used in the notebook and is added in a separate python skript.
There is a class for the BEST method according to Kruschke and a class für the BEST multiple comparison.
A conda environment file with all libraries that are necessary to perform the analysis, including the package version was created. It can be easily installed via conda env create -f pymc_env.yml
Creator: Sebastian Höpfl
Submitter: Sebastian Höpfl
Model type: Not specified
Model format: Not specified
Environment: Not specified
The exponential decay model with all parameters, observables and conditions was specified in a yaml file.
This yaml file is converted with yaml2sbml (2020 Jakob Vanhoefer, Marta R. A. Matos, Dilan Pathirana, Yannik Schaelte and Jan Hasenauer) to a PEtab problem, which contains also the SBML model.
Creator: Sebastian Höpfl
Submitter: Sebastian Höpfl
Model type: Ordinary differential equations (ODE)
Model format: SBML
Environment: Not specified
The SOP creates a separate SBML model for each drug and condition, as the PEtab problem contains diffrent experimental data for them.
However, the SBML models only differ in their name as for all drugs and conditions, the same exponential decay model was assumed.
The SBMLs are automatically created by yaml2sbml, when the SOP is executed. Therefore, these files are for completeness only and are not necessary to replicate the analysis.
Creator: Sebastian Höpfl
Submitter: Sebastian Höpfl
Model type: Ordinary differential equations (ODE)
Model format: SBML
Environment: Not specified