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Unravelling the Sensitivity of Two Motif Structures Under Random Perturbation

In: Trends in Biomathematics: Modeling, Optimization and Computational Problems

Author

Listed:
  • Suvankar Halder

    (Translational Health Science and Technology Institute, NCR Biotech Science Cluster, Drug Discovery Research Centre)

  • Samrat Chatterjee

    (Translational Health Science and Technology Institute, NCR Biotech Science Cluster, Drug Discovery Research Centre)

  • Nandadulal Bairagi

    (Jadavpur University, Centre for Mathematical Biology and Ecology, Department of Mathematics)

Abstract

The aim of the present study is to capture the sensitivity of two frequently observed motif structures under stochastic perturbation. The study is done by building stochastic differential equation (SDE) models for these two motif structures. The use of motif structure in defining noise-signal relation can then be used to filter signals from noise in signalling pathway. Knowledge on the sensitivity nature of nodes can then be explored further in screening potential candidates for drug targets. The results obtained will be especially useful in diseases such as cancer, diabetes, obesity that cause complex perturbations in cellular signalling networks.

Suggested Citation

  • Suvankar Halder & Samrat Chatterjee & Nandadulal Bairagi, 2018. "Unravelling the Sensitivity of Two Motif Structures Under Random Perturbation," Springer Books, in: Rubem P. Mondaini (ed.), Trends in Biomathematics: Modeling, Optimization and Computational Problems, pages 245-263, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-91092-5_17
    DOI: 10.1007/978-3-319-91092-5_17
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