Journal article

An Improved Scatter Search Algorithm for Parameter Estimation in Large-Scale Kinetic Models of Biochemical Systems

Muhammad Akmal Remli, Mohd Saberi Mohamad, Safaai Deris, Richard Sinnott, Suhaimi Napis

Current Proteomics | Bentham Science Publishers | Published : 2019

Abstract

Background: Mathematical models play a central role in facilitating researchers to better understand and comprehensively analyze various processes in biochemical systems. Their usage is beneficial in metabolic engineering as they help predict and improve desired products. However, one of the primary challenges in model building is parameter estimation. It is the process to find nearoptimal values of kinetic parameters which may culminate in the best fit of model prediction to experimental data. Methods: This paper proposes an improved scatter search algorithm to address the challenging parameter estimation problem. The improved algorithm is based on hybridization of quasi opposition-based l..

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Grants

Awarded by Malaysian Ministry of Higher Education via Fundamental Research Grant Scheme


Awarded by Universiti Teknologi Malaysia, Malaysia via Flagship Grant


Funding Acknowledgements

Malaysian Ministry of Higher Education via Fundamental Research Grant Scheme (grant number: R.J130000.7828.4F886). Universiti Teknologi Malaysia, Malaysia via Flagship Grant (grant number: Q.J130000.2428.03G57).