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Modelling dynamic processes in yeast
Author(s) -
Klipp Edda
Publication year - 2007
Publication title -
yeast
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.923
H-Index - 102
eISSN - 1097-0061
pISSN - 0749-503X
DOI - 10.1002/yea.1544
Subject(s) - yeast , biology , computational biology , relevance (law) , systems biology , model organism , saccharomyces cerevisiae , organism , regulation of gene expression , gene regulatory network , biochemical engineering , computer science , biological system , gene expression , gene , genetics , political science , law , engineering
Abstract Yeast molecular and cell biology has accumulated large amounts of qualitative and quantitative data of diverse cellular processes. The results are often summarized as verbal or graphical descriptions. Moreover, a series of mathematical models has been developed that should help to interpret such data, to integrate them into a coherent picture and to allow for an understanding of the underlying processes. Dynamic modelling of regulatory processes in yeast focuses on central carbon metabolism, on a number of selected signalling pathways and on cell cycle regulation. These models can explain questions of general relevance, such as whether the dynamics of a network can be understood from the combination of in vitro kinetics of its individual reactions. They help to elucidate complicated dynamic features, such as glycolytic oscillations, effects of feedback regulation or the optimal regulation of gene expression. The availability of comprehensive qualitative information, such as protein interactions or pathway composition, and sets of quantitative data make yeast a perfect model organism. Therefore, yeast‐related data are often used to develop and examine computational approaches and modelling methods. Copyright © 2007 John Wiley & Sons, Ltd.