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QSSPN: dynamic simulation of molecular interaction networks describing gene regulation, signalling and whole-cell metabolism in human cells.

Fisher, CP, Plant, NJ, Moore, JB and Kierzek, AM (2013) QSSPN: dynamic simulation of molecular interaction networks describing gene regulation, signalling and whole-cell metabolism in human cells. Bioinformatics, 29 (24). pp. 3181-3190.

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Abstract

Dynamic simulation of genome-scale molecular interaction networks will enable the mechanistic prediction of genotype-phenotype relationships. Despite advances in quantitative biology, full parameterization of whole-cell models is not yet possible. Simulation methods capable of using available qualitative data are required to develop dynamic whole-cell models through an iterative process of modelling and experimental validation.

Item Type: Article
Divisions : Faculty of Health and Medical Sciences > School of Biosciences and Medicine > Department of Nutritional Sciences
Authors :
AuthorsEmailORCID
Fisher, CPUNSPECIFIEDUNSPECIFIED
Plant, NJUNSPECIFIEDUNSPECIFIED
Moore, JBUNSPECIFIEDUNSPECIFIED
Kierzek, AMUNSPECIFIEDUNSPECIFIED
Date : 15 December 2013
Identification Number : 10.1093/bioinformatics/btt552
Related URLs :
Additional Information : Copyright The Author 2013. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Depositing User : Symplectic Elements
Date Deposited : 17 Jan 2014 14:46
Last Modified : 09 Jun 2014 13:51
URI: http://epubs.surrey.ac.uk/id/eprint/804824

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