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Open Access Highly Accessed Methodology article

A cooperative strategy for parameter estimation in large scale systems biology models

Alejandro F Villaverde1, Jose A Egea2 and Julio R Banga1*

Author Affiliations

1 Bioprocess Engineering Group, IIM-CSIC, Eduardo Cabello 6, Vigo 36208Spain

2 Department of Applied Mathematics and Statistics, Universidad Politécnica de Cartagena, Avenida Dr. Fleming s/n, 30202, Cartagena, Spain

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BMC Systems Biology 2012, 6:75  doi:10.1186/1752-0509-6-75

Published: 22 June 2012

Additional files

Additional file 1:

LSGO Benchmark. The file includes tests of the eSS and CeSS methods with the Large-Scale Global Optimization benchmark ( http://staff.ustc.edu.cn/∼ketang/cec2012/lib/lsgo_benchmark.zip webcite) [38,39].

Format: PDF Size: 169KB Download file

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Open Data

Additional file 2:

Model 1. The file includes tables listing the model reactions and metabolites (KEGG IDs are given when available), nominal values of the parameters, experimental conditions, and additional convergence curves showing the algorithm’s performance. Model supplied by Wolfram Liebermeister (personal communication).

Format: PDF Size: 100KB Download file

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Open Data

Additional file 3:

Model 2. The file includes information about the model structure and parameters, plots of the fits between the calibrated model and the simulated experimental data, and additional convergence curves showing the algorithm’s performance [ [18]].

Format: PDF Size: 312KB Download file

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Open Data