Models

Dataset Information

0

Fisher2006_Ca_Oscillation_dpdnt_NFAT_dynamics


ABSTRACT: The model reproduces the calcium oscillation dependent activation-deactivation kinetics of nuclear factor of activated T cells (NFAT) as depicted in Fig 4a of the paper. A simple algorithm in the events section takes care of the calcium oscillation. The model was successfully tested on MathSBML. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

SUBMITTER: Harish Dharuri  

PROVIDER: BIOMD0000000122 | BioModels | 2024-09-02

REPOSITORIES: BioModels

altmetric image

Publications

NFAT and NFkappaB activation in T lymphocytes: a model of differential activation of gene expression.

Fisher Wayne G WG   Yang Pei-Chi PC   Medikonduri Ram K RK   Jafri M Saleet MS  

Annals of biomedical engineering 20061010 11


Mathematical models for the regulation of the Ca(2+)-dependent transcription factors NFAT and NFkappaB that are involved in the activation of the immune and inflammatory responses in T lymphocytes have been developed. These pathways are important targets for drugs, which act as powerful immunosuppressants by suppressing activation of NFAT and NFkappaB in T cells. The models simulate activation and deactivation over physiological concentrations of Ca(2+), diacyl glycerol (DAG), and PKCtheta using  ...[more]

Similar Datasets

2024-09-02 | BIOMD0000000678 | BioModels
2010-03-03 | E-GEOD-15720 | biostudies-arrayexpress
2009-06-17 | GSE15720 | GEO
2013-04-22 | E-GEOD-45274 | biostudies-arrayexpress
2021-11-11 | PXD028974 | Pride
2021-06-14 | GSE157981 | GEO
2021-01-14 | GSE152121 | GEO
2021-01-14 | GSE152120 | GEO
2021-01-14 | GSE152123 | GEO
2021-01-14 | GSE154909 | GEO