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Study of oscillatory dynamics in a Selkov glycolytic model using sensitivity analysis

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Abstract

Oscillation is ubiquitous and important in both bio-engineering and biosystems. We here analyze the features of oscillation in a well-studied biochemical model of glycolysis with autocatalytic kinetic step. This Selkov model is followed deterministically using mass action kinetics. We explore the sensitivity analysis technique to assess degree of susceptibility of the system with respect to different input parameters for a thorough understanding of the merit of individual parameters controlling the core dynamics. Emphasis is concentrated on the system’s biological response via oscillation, bracketing the range of perturbation allowed to the kinetic parameters. An interesting observation is the switchover of the dynamics from non-oscillating to damping followed by stable sustained undulation with one or two controlling kinetic parameters which are quite appealing. The result may be illuminating in understanding the dynamics behind oscillations in biochemical systems in general. A key outcome of the study is the prioritization of most sensitive parameter for the network model controlling the dynamical features via scatterplot analysis.

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Acknowledgement

SD acknowledges financial support from the University Grants Commission (UGC) in the form of Dr. D. S. Kothari Fellowship.

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Authors and Affiliations

  1. Department of Chemistry, University of Calcutta, Kolkata, 700 009, India

    Sharmistha Dhatt & Pinaki Chaudhury

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  1. Sharmistha Dhatt
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  2. Pinaki Chaudhury
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Correspondence to Pinaki Chaudhury.

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Dhatt, S., Chaudhury, P. Study of oscillatory dynamics in a Selkov glycolytic model using sensitivity analysis. Indian J Phys 96, 1649–1654 (2022). https://doi.org/10.1007/s12648-021-02102-4

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