Models138 Models visible to you, out of a total of 238
Framework Model for Arabidopsis vegetative growth, version 2 (FMv2), as described in Chew et al. bioRxiv 2017 (https://doi.org/10.1101/105437; please see linked Article file).
The FMv2 model record on FAIRDOMHub has the following versions, which represent the same FMv2 model:
Version 1 is an archive of the github repository of MATLAB code for the Framework Model v2, downloaded from https://github.com/danielseaton/frameworkmodel on 06/02/17. This version was not licensed for further use and was
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
The model is adapted from A.P. Kupinski, I. Raabe, M. Michel, D. Ail, L. Brusch, T. Weidemann, C. Bökel (2013) Phosphorylation of the Smo tail is controlled by membrane localization and is dispensable for clustering, J. Cell Sci., 126, 20, 4684-4697 doi: 10.1242/jcs.128926
The model format is MorpheusML that can readily be loaded and run in Morpheus: https://imc.zih.tu-dresden.de//wiki/morpheus
Morpheus is the modelling and simulation framework for multicellular systems biology developed at Technische Universität Dresden.
Manual, examples and binaries for Windows, Linux, MacOS at: https://imc.zih.tu-dresden.de/wiki/morpheus
Open source code at: https://gitlab.com/morpheus.lab/morpheus
This version is P2011.1.2, model ID PLM_71 version 1. Dynamics identical to P2011.1.1 of the Pokhilko et al. 2012 publication.
Python scripts to run the analysis estimating rates of protein synthesis in the light and dark, and overall rates of protein turnover, in Cyanothece and Ostrecoccus tauri.
This mechanistic ODE model describes the growth dynamics of P. aeruginosa, including an antibiotic-induced morphological transition to a fragile spherical form.
Metabolic model of Sulfolobus solfataricus P2 in the SBML (xml) and metano (txt, sce, fba) format. Scenarios are specific for growth on D-glucose or L-fucose as sole carbon source. Different theoretical routes of L-fucose degradation were modeled (E. coli-like, Xanthomonas-like and lactaldehyde-forming). Highest overall agreement between the model and experimental data was observed for the lactaldehyde-forming route.
The model presents a multi-compartmental (mesophyll, phloem and root) metabolic model of growing Arabidopsis thaliana. The flux balance analysis (FBA) of the model quantifies: sugar metabolism, central carbon and nitrogen metabolism, energy and redox metabolism, proton turnover, sucrose translocation from mesophyll to root and biomass growth under both dark- and light-growth conditions with corresponding growth either on starch (in darkness) or on CO2 (under light). The FBA predicts that
E.coli Core model, with additional reactions added to generate the beta-oxadation cycle. This is the basic model used in RobOKoD: microbial strain design for (over)production of target compounds (http://fairdomhub.org/publications/236).