Details about this organismSynonyms (2)
Rattus sp. strain Wistar, brown rat
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MESI-STRAT: Systems Medicine of Metabolic-Signaling Networks -A New Concept for Breast Cancer Patient Stratification.
Breast cancer is a complex disease with high prevalence in the European Union and world-wide. 75%-80 of the patients have estrogen receptor-positive (ER)-positive tumors and are treated with endocrine therapies. Endocrine therapies, which block ER-driven tumor growth, show high efficacy. Yet, a significant proportion of the patients will eventually relapse with metastatic breast
We will contribute to the LiSyM Research Network an open source, freely available and reproducible multiscale model of the human liver from single cell metabolism to whole liver function. The model will be available in existing standards of systems biology, provide standardized interfaces for data integration and be fully annotated to available biological, medical and computational ontologies. All data, models and source code will be shared within the LiSyM Research Network and made available to
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
Model type: Partial differential equations (PDE)
Model format: SBML
Environment: Not specified
Organism: Rattus norvegicus
Investigations: No Investigations
Studies: No Studies
Modelling analyses: No Modelling analyses
Authors: Lutz Brusch, Ostrenko Oleksandr,Incardona Pietro,Ramaswamy Rajesh,Sbalzarini Ivo F.
Date Published: 4th Dec 2017
Journal: PLoS Comput Biol
Citation: PLoS Comput Biol 13(12) : e1005865
Authors: Lutz Brusch, Starruss J.,de Back W.,Deutsch A.
Date Published: No date defined
PubMed ID: 24443380
Citation: Bioinformatics. 2014 May 1;30(9):1331-2. doi: 10.1093/bioinformatics/btt772. Epub 2014 Jan 17.