| Literature DB >> 24797926 |
Fiona Achcar1, Abeer Fadda2, Jurgen R Haanstra3, Eduard J Kerkhoven4, Dong-Hyun Kim5, Alejandro E Leroux6, Theodore Papamarkou7, Federico Rojas8, Barbara M Bakker9, Michael P Barrett5, Christine Clayton2, Mark Girolami7, R Luise Krauth-Siegel6, Keith R Matthews8, Rainer Breitling10.
Abstract
The African trypanosome, Trypanosoma brucei, is a unicellular parasite causing African Trypanosomiasis (sleeping sickness in humans and nagana in animals). Due to some of its unique properties, it has emerged as a popular model organism in systems biology. A predictive quantitative model of glycolysis in the bloodstream form of the parasite has been constructed and updated several times. The Silicon Trypanosome is a project that brings together modellers and experimentalists to improve and extend this core model with new pathways and additional levels of regulation. These new extensions and analyses use computational methods that explicitly take different levels of uncertainty into account. During this project, numerous tools and techniques have been developed for this purpose, which can now be used for a wide range of different studies in systems biology.Entities:
Keywords: Differential equations; Dynamic modelling; Metabolomics; Systems biology; Transcriptomics; Trypanosoma brucei; Uncertainty
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Year: 2014 PMID： 24797926 PMCID： PMC4773886 DOI： 10.1016/B978-0-12-800143-1.00003-8
Source DB: PubMed Journal: Adv Microb Physiol ISSN： 0065-2911 Impact factor: 3.517