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Dynamic mTOR network models: Novel links to metabolic inputs
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Metabolomics:Open Access

ISSN: 2153-0769

Open Access

Dynamic mTOR network models: Novel links to metabolic inputs


2nd International Conference and Exhibition on Metabolomics & Systems Biology

April 08-10, 2013 Hilton Chicago/Northbrook, USA

Kathrin Thedieck

Accepted Abstracts: Metabolomics

Abstract :

Mammalian target of rapamycin (mTOR) kinase is a central regulator of cellular growth and metabolism and plays an important role in ageing and age-related disease. mTOR is part of two structurally and functionally distinct multiprotein complexes, mTOR complex 1 (mTORC1) and mTORC2. In addition to the existence of two complexes, a variety of network inputs, multiple feedback loops and a myriad of crosstalks with other pathways render the mTOR signalling highly complex. We applied a combined computational-experimental approach and established dynamic mTOR network models. This enabled us to reveal novel network connections and demonstrate novel links to metabolic inputs.

Biography :

Kathrin Thedieck has completed her Ph.D. in 2005 from Technical University of Braunschweig and the Helmholtz Centre of Infection Research, Braunschweig, Germany. She did her postdoctoral studies at the Biozentrum, Basel University, Switzerland. Kathrin Thedieck is a group leader for Functional Proteomics of Metabolic Signalling at the Albert-Ludwigs-University Freiburg, Germany. Her research focus is on signal transduction through the mTOR network.

Google Scholar citation report
Citations: 895

Metabolomics:Open Access received 895 citations as per Google Scholar report

Metabolomics:Open Access peer review process verified at publons

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