# Models

**118**Models visible to you, out of a total of

**194**

**Creator: **Malgorzata Adamczyk

**Contributor**: Malgorzata Adamczyk

**Model type**: Not specified

**Model format**: SBML

Code for joint probabilistic inference of transcription factor behaviour and gene-transcription factor as well as metabolite-transcription factor interaction based on genome and metabolite data.

**Creators: **Botond Cseke, Guido Sanguinetti

**Contributor**: Botond Cseke

**Model type**: Not specified

**Model format**: Matlab package

Bayesian model for inference of the activity of transcription factors from targets' mRNA levels. A standalone C sharp package (runs on linux and mac under MONO).

**Creator: **Guido Sanguinetti

**Contributor**: Guido Sanguinetti

**Model type**: Not specified

**Model format**: Not specified

Mathematical model for TPI kinetics, GAP and DHAP saturation, and inhibition with 3PG and PEP.

**Creator: **Jacky Snoep

**Contributor**: Jacky Snoep

**Model type**: Ordinary differential equations (ODE)

**Model format**: Mathematica

Mathematica notebook for the parameterisation of the TPI rate equation based on SEEK linked experimental data.

**Creators: **Dawie Van Niekerk, Jacky Snoep

**Contributor**: Dawie Van Niekerk

**Model type**: Ordinary differential equations (ODE)

**Model format**: Mathematica

The zip file contains two executable Matlab functions.

File named 'fnct_gen_tfcompmod.m' generates a Simbiology model based on the following interactions:

R + X <-> RX -> R + X + Px

R + Y <-> RY -> R + Y + Py

R + Z <-> RZ -> R + Z + Pz

Y + Pz -> Pz

Px ->

Py ->

Pz ->

We assume much higher reaction speeds of sigma factor RNApol binding/unbinding compared to protein expression. Protein expression can therefore be represented by Michaelis-Menten like kinetic laws with three competing inhibitors

...

**Creator: **Ulf Liebal

**Contributor**: Ulf Liebal

**Model type**: Ordinary differential equations (ODE)

**Model format**: Matlab package