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This article is part of the supplement: Selected articles from the Third International Symposium on Optimization and Systems Biology

Open Access Proceedings

Parameter optimization by using differential elimination: a general approach for introducing constraints into objective functions

Masahiko Nakatsui1, Katsuhisa Horimoto12*, Masahiro Okamoto3, Yasuhito Tokumoto4 and Jun Miyake45

Author Affiliations

1 Computational Biology Research Center, National Institute of Advanced Industrial Science and Technology, 2-4-7 Aomi, Koto-ku, Tokyo 135-0064, Japan

2 Institute of Systems Biology, Shanghai University, Shangda Road 99, Shanghai 200444, China

3 Laboratory for Bioinformatics, Graduate School of Systems Life Sciences, Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, Japan

4 Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan

5 Department of Mechanical Science and Bioengineering, Graduate School of Engineering Science, Osaka University, Osaka 560-8531, Japan

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BMC Systems Biology 2010, 4(Suppl 2):S9  doi:10.1186/1752-0509-4-S2-S9

Published: 13 September 2010

Additional files

Additional file 1:

According to the kinetics of the models for Models 1 and 2, the reference data of one variable, xAB (A), and that of one variable, x1 (B), were generated under the same conditions as those in Figures 2 and 5.

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Additional file 2:

The equivalent equations for Model 1 were derived from the system of differential equations by differential elimination.

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Additional file 3:

The equivalent equations for Model 2 were derived from the system of differential equations by differential elimination.

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Open Data