The Best Linear Approximation of Biomolecular Systems

Rishi Relan, Abhishek Dey, Shaunak Sen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

The dynamical behaviour of biomolecular systems changes between either linear or nonlinear in different parameter regimes. Data-driven techniques used for modelling the biomolecular systems either model the biomolecular systems as the linear time-invariant systems in all parameter regimes or use computationally expensive nonlinear modelling structures to represent their behaviour. Furthermore, these modelling techniques require time-consuming experimental design for data acquisition. Therefore, in this paper, firstly, we utilize the broadband multisine signals to acquire the data in one single experiment. Secondly, we use a novel local polynomial approach to estimate nonparametrically the best linear approximation (BLA) of the biomolecular system in the frequency band of interest. Finally, the usefulness of the technique is demonstrated through simulation case-studies for obtaining the BLA for two biomolecular systems.
Original languageEnglish
Title of host publicationProceedings of 2019 Fifth Indian Control Conference
PublisherIEEE
Publication date2019
Pages51-56
ISBN (Print)9781538662465
DOIs
Publication statusPublished - 2019
Event2019 Fifth Indian Control Conference - Delhi, India
Duration: 9 Jan 201911 Jan 2019
Conference number: 5

Conference

Conference2019 Fifth Indian Control Conference
Number5
CountryIndia
CityDelhi
Period09/01/201911/01/2019
Series2019 Fifth Indian Control Conference (icc)

Keywords

  • Biological system modeling
  • Nonlinear systems
  • Estimation
  • Transient analysis
  • Frequency-domain analysis
  • Mathematical model

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