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Applications of Membrane Computing in Systems and Synthetic BiologyMP Modelling for Systems Biology: Two Case Studies

Applications of Membrane Computing in Systems and Synthetic Biology: MP Modelling for Systems... [Metabolic P systems (MP systems), based on Păun’s P systems, were introduced for modelling metabolic systems by means of suitable multiset rewriting grammars. The initial modelling framework has been widely extended in last years and equipped with a new regression algorithm which derives MP models from the time series of observed dynamics. This has allowed us to dramatically extend the range of possible MP modelling applications from metabolic dynamics to more general kinds of dynamical systems. In this work two applications of MP systems are presented, for discovering the internal regulation logic of two phenomena relevant to systems biology. The first one is a metabolic dynamics related to glucose/insulin interactions during the Intravenous Glucose Tolerance Test. The second one deals with the definition of gene expression networks related to breast cancer under the inhibition of a growth factor.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Applications of Membrane Computing in Systems and Synthetic BiologyMP Modelling for Systems Biology: Two Case Studies

Part of the Emergence, Complexity and Computation Book Series (volume 7)
Editors: Frisco, Pierluigi; Gheorghe, Marian; Pérez-Jiménez, Mario J.
Marchetti, Luca; Manca, Vincenzo; Pagliarini, Roberto; Bollig-Fischer, Aliccia
Applications of Membrane Computing in Systems and Synthetic Biology — Dec 18, 2013
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Publisher
Springer International Publishing
Copyright
© Springer International Publishing Switzerland 2014
ISBN
978-3-319-03190-3
Pages
223 –245
DOI
10.1007/978-3-319-03191-0_7
Publisher site
See Chapter on Publisher Site

Abstract

[Metabolic P systems (MP systems), based on Păun’s P systems, were introduced for modelling metabolic systems by means of suitable multiset rewriting grammars. The initial modelling framework has been widely extended in last years and equipped with a new regression algorithm which derives MP models from the time series of observed dynamics. This has allowed us to dramatically extend the range of possible MP modelling applications from metabolic dynamics to more general kinds of dynamical systems. In this work two applications of MP systems are presented, for discovering the internal regulation logic of two phenomena relevant to systems biology. The first one is a metabolic dynamics related to glucose/insulin interactions during the Intravenous Glucose Tolerance Test. The second one deals with the definition of gene expression networks related to breast cancer under the inhibition of a growth factor.]

Published: Dec 18, 2013

Keywords: Human Epidermal Growth Factor Receptor; Gene Network; Intravenous Glucose Tolerance Test; Gene Expression Network; Dynamical Inverse Problem

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