Models

135 Models visible to you, out of a total of 235

SBML description of L. lactis glycolysis. Same as the uploaded Copasi file

Creator: Mark Musters

Contributor: Mark Musters

The model includes glycolysis, pentosephosphate pathway, purine salvage reactions, purine de novo synthesis, redox balance and biomass growth. The network balances adenylate pool as opened moiety.

Creator: Maksim Zakhartsev

Contributor: Maksim Zakhartsev

No description specified

Creators: Jay Moore, David Hodgson, Veronica Armendarez, Emma Laing , Govind Chandra, Mervyn Bibb

Contributor: Jay Moore

input: array of investigated quenching temperatures and volumetric flows
output: quenching time and coil length as function of quenching temperature, and quenching time as function of temperature for varying coil lengths

Creator: Sebastian Curth

Contributor: Sebastian Curth

The model can simulate the the dynamics of sigB dependent transcription at the transition to starvation. It is was developed along the comic in <data> 'sigB-activation-comic_vol1'. Parameters were partly taken from Delumeau et al., 2002, J. Bact. and Igoshin et al., 2007, JMB. Parameter estimation was performed using experimental data from <assay> '0804_shake-flask'.
Use the .m-file with matlab as:
% reading initial conditions from the file:
inic = sigb_model_liebal;

% performing the
...

Creator: Ulf Liebal

Contributor: Ulf Liebal

No description specified

Creator: Jacky Snoep

Contributor: Jacky Snoep

This model describes a core process during endocytosis. Intracellular vesicles called early endosomes contain the endocytosed cargo, e.g. signaling components like growth factors and RTKs, pathogens like viruses and nutrients like iron in transferrin. Early endosomes form an interacting pool of thousands of vesicles and jointly constitute the sorting and transport machinery in the endocytic pathway. Together with the cargo, membrane components travel to other compartments of the pathway which
...

Creator: Lutz Brusch

Contributor: Lutz Brusch

The zip-folder contains files for execution in matlab that allow for the simulation of stressosome dynamics and reproduction of published data on the stressosome. The important file for execution is 'liebal_stressosome-model_12_workflow-matlab.m'.

Creator: Ulf Liebal

Contributor: Ulf Liebal

No description specified

Creators: Dawie Van Niekerk, Jacky Snoep

Contributor: Dawie Van Niekerk

Using optical tweezers to position yeast cells in a microfluidic chamber, we were able to observe sustained oscillations in individual isolated cells. Using a detailed kinetic model for the cellular reactions, we simulated the heterogeneity in the response of the individual cells, assuming small differences in a single internal parameter. By operating at two different flow rates per experiment, we observe four of categories of cell behaviour. The present model (gustavsson1) predicts the limit
...

Creators: Franco Du Preez, Jacky Snoep, David D van Niekerk

Contributor: Franco Du Preez

Using optical tweezers to position yeast cells in a microfluidic chamber, we were able to observe sustained oscillations in individual isolated cells. Using a detailed kinetic model for the cellular reactions, we simulated the heterogeneity in the response of the individual cells, assuming small differences in a single internal parameter. By operating at two different flow rates per experiment, we observe four of categories of cell behaviour. The present model (gustavsson2) predicts the damped
...

Creators: Franco Du Preez, Jacky Snoep, David D van Niekerk

Contributor: Franco Du Preez

Using optical tweezers to position yeast cells in a microfluidic chamber, we were able to observe sustained oscillations in individual isolated cells. Using a detailed kinetic model for the cellular reactions, we simulated the heterogeneity in the response of the individual cells, assuming small differences in a single internal parameter. By operating at two different flow rates per experiment, we observe four of categories of cell behaviour. The present model (gustavsson3) predicts the steady-state
...

Creators: Franco Du Preez, Jacky Snoep, David D van Niekerk

Contributor: Franco Du Preez

Using optical tweezers to position yeast cells in a microfluidic chamber, we were able to observe sustained oscillations in individual isolated cells. Using a detailed kinetic model for the cellular reactions, we simulated the heterogeneity in the response of the individual cells, assuming small differences in a single internal parameter. By operating at two different flow rates per experiment, we observe four of categories of cell behaviour. The present model (gustavsson4) predicts the steady-state
...

Creators: Franco Du Preez, Jacky Snoep, Dawie Van Niekerk

Contributor: Franco Du Preez

Powered by
Seek new full
(v.1.6.0)
Copyright © 2008 - 2018 The University of Manchester and HITS gGmbH