QSSPN: Dynamic Simulation of Molecular Interaction Networks Describing Gene Regulation, Signalling and Whole-Cell Metabolism in Human Cells.

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QSSPN: Dynamic Simulation of Molecular Interaction Networks Describing Gene Regulation, Signalling and Whole-Cell Metabolism in Human Cells.

Bioinformatics Advance Access published September 23, 2013 Systems Biology.P.Fisher, N.J.Plant, J.B.Moore and A.M.Kierzek* Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey GU2 7XH, UK. © The Author(s) Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

Contents 1 INTRODUCTION 2 METHODS 3 RESULTS 4 DISCUSSION

1 INTRODUCTION

2 METHODS 2.1 QSSPN algorithm 2.2 Monte Carlo sampling of token game trajectories.

2.1 QSSPN algorithm

2.2 Monte Carlo sampling of token game trajectories.

3 RESULTS 3.1 General model of gene expression 3.2 Dynamic simulation of bile acid homeostasis 3.3 Analysis of genotype-phenotype relationship 3.4 Software and Model Distribution

3.1 General model of gene expression

3.2 Dynamic simulation of bile acid homeostasis

3.3 Analysis of genotype-phenotype relationship

3.4 Software and Model Distribution

4 DISCUSSION

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