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Mathematical modeling of yeast: a driver for innovation in biotechnology and human medicine
KTH, School of Biotechnology (BIO), Gene Technology.
2015 (English)In: Yeast, ISSN 0749-503X, E-ISSN 1097-0061, Vol. 32, S50-S51 p.Article in journal, Meeting abstract (Other academic) Published
Abstract [en]

Saccharomyces cerevisiae is the most studied organism and is for this reason used widely as a model organismfor studying molecular mechanisms of relevance for human disease. Thus, several Nobel Prizes have been givento yeast researchers. Among many other discoveries studies of yeast resulted in identification of cyclins andcyclin dependent kinases that play a central role in the cell cycle of eukaryal cells and mapping of the proteinsecretory pathway in eukaryal cells. This yeast is also used for production of fuels, chemicals, pharmaceuticalsand materials, and the annual revenue derived from processes based on S. cerevisiae fermentations by farexceeds 200 billion EURO. Furthermore. through metabolic engineering of this yeast a number of novel newindustrial processes are under development resulting in an even more important role of this cell factory in thefuture. In order to advance our fundamental understanding of this important organism, but in human healthresearch and industrial biotechnology, it is important to advance our ability to integrate novel experimental datain quantitative framework. Mathematical models represent an excellent scaffold for this as they allowreconciliation of data and at the same time enable generation of novel hypothesis concerning specific molecularprocesses. Furthermore, in the field of industrial biotechnology mathematical models may be used for advancingmetabolic engineering, which will result in a reduction in development costs and hereby advance towards biosustainable production of fuels and chemicals

Place, publisher, year, edition, pages
2015. Vol. 32, S50-S51 p.
Keyword [en]
Yeast, biotechnology, human medicine, mathematical modelling, innovation
National Category
Medical Biotechnology
URN: urn:nbn:se:kth:diva-174936ISI: 000361466200043OAI: diva2:861743
27th International Conference on Yeast Genetics and Molecular Biology (ICYGMB), SEP 06-12, 2015, Levico Terme, ITALY

QC 20151019

Available from: 2015-10-19 Created: 2015-10-09 Last updated: 2015-10-19Bibliographically approved

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Nielsen, Jens
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