BMC Systems Biology

official impact factor 3.57

Open Access Highly Access Research article

Computational modelling of cancerous mutations in the EGFR/ERK signalling pathway

Richard J Orton1,2*, Michiel E Adriaens2,3, Amelie Gormand2,4, Oliver E Sturm2,5, Walter Kolch6 and David R Gilbert2,7

Author Affiliations

1 Institute of Comparative Medicine, Faculty of Veterinary Medicine, University of Glasgow, Glasgow, G61 1QH, UK

2 Bioinformatics Research Centre, Department of Computing Science, University of Glasgow, Glasgow, G12 8QQ, UK

3 Department of Bioinformatics - BiGCaT, Maastricht University, Maastricht, The Netherlands

4 Department of Experimental Medical Science, Faculty of Medicine, Lund University, Lund, Sweden

5 St Jude Children's Research Hospital, Memphis, Tennessee, TN 38105, USA

6 Beatson Institute for Cancer Research, Garscube Estate, Glasgow, G61 IBD, UK

7 School of Information Systems, Computing and Mathematics, Brunel University, Uxbridge, Middlesex, UB8 3PH, UK

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BMC Systems Biology 2009, 3:100 doi:10.1186/1752-0509-3-100

Published: 5 October 2009

Additional files

Additional file 1:

EGF Model. This is an SBML file of our newly developed EGF model

Format: XML Size: 36KB Download file

Open Data

Additional file 2:

Additional Information and Figures. This word file contains additional information such as laboratory protocols, details on how all the model knockouts were performed, model sensitivity analysis results, and additional figures.

Format: DOC Size: 494KB Download file

This file can be viewed with: Microsoft Word Viewer

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Additional file 3:

Model Parameters. This excel file contains the values and sources of all the model parameters - specie initial concentrations and rate constants.

Format: XLS Size: 30KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data