Paper presenting the tool

Balsa-Canto,E., Banga J.R. AMIGO, a toolbox for Advanced Model Identification in systems biology using Global Optimization. Bioinformatics (2011) doi: 10.1093/bioinformatics/btr370 Article

Detailed description of the iterative identification procedure

Balsa-Canto, E., A.A. Alonso & J.R. Banga, J. R. (2010). An iterative identification procedure for dynamic modeling of biochemical networks. BMC Systems Biology 4:11. Article

Description of numerical methods for parameter estimation, identifiability analysis and optimal experimental design

Balsa-Canto, E., M. Peifer, J.R. Banga, J. Timmer, C. Fleck (2008) Hybrid optimization method with general switching strategy for parameter estimation. BMC Systems Biology, 2:26. Article

Balsa-Canto, E., A.A. Alonso and J.R. Banga (2008) Computational Procedures for Optimal Experimental Design in Biological Systems. IET Systems Biology 2(4):163-172. Abstract

Banga, J.R. and E. Balsa-Canto (2008) Parameter estimation and optimal experimental design. Essays in Biochemistry, 45: 195–210. Abstract

Some other works that made use of AMIGO

Vera , J, O. Rath, E. Balsa-Canto, J. R. Banga, W. Kolch & O. Wolkenhauer (2010). Investigating dynamics of inhibitory and feedback loops in ERK signalling using power-law models. Article

Otero-Muras I, Franco-Uría A., Alonso A.A., Balsa-Canto E (2010) Dynamic multi compartmental modelling of metal bioaccumulation in fish: Identifiability implications. Env. Mod. & Soft. 25(3): 344-353.