The silicon trypanosome: a test case of iterative model extension in systems biology

Achcar, F. et al. (2014) The silicon trypanosome: a test case of iterative model extension in systems biology. Advances in Microbial Physiology, 64, pp. 115-143. (doi:10.1016/B978-0-12-800143-1.00003-8) (PMID:24797926) (PMCID:PMC4773886)

Full text not currently available from Enlighten.

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.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Achcar, Dr Fiona and Breitling, Professor Rainer and Barrett, Professor Michael and Girolami, Prof Mark and Rojas, Mr Federico and Kerkhoven, Mr Eduard and Papamarkou, Dr Theodore
Authors: Achcar, F., Fadda, A., Haanstra, J. R., Kerkhoven, E. J., Kim, D.-H., Leroux, A. E., Papamarkou, T., Rojas, F., Bakker, B. M., Barrett, M. P., Clayton, C., Girolami, M., Krauth-Siegel, R. L., Matthews, K. R., and Breitling, R.
College/School:College of Medical Veterinary and Life Sciences > Institute of Infection Immunity and Inflammation
College of Medical Veterinary and Life Sciences > Institute of Molecular Cell and Systems Biology
College of Science and Engineering > School of Computing Science
College of Science and Engineering > School of Mathematics and Statistics > Statistics
Journal Name:Advances in Microbial Physiology
Publisher:Elsevier Ltd.
ISSN:0065-2911
ISSN (Online):2162-5468

University Staff: Request a correction | Enlighten Editors: Update this record