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Homeodynamic Modelling of Complex Abnormal Biological Processes

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Advances in Core Computer Science-Based Technologies

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 14))

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Abstract

Biological systems are defined by their complexity and nonlinearity and thus provide fertile ground for the development of nonlinear deterministic models for predicting aspects of their behavior. This approach motivated the introduction of the concept named Homeodynamics which we will outline and then proceed to present a case study on the application of bifurcation theory and stability analysis, both topological approaches of dynamical systems, on three biological mechanisms of great importance in the context of Homeodynamics. These will be protein folding, protein dynamics and epigenetics.

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Correspondence to Panagiotis Vlamos .

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Sofronis, A., Vlamos, P. (2021). Homeodynamic Modelling of Complex Abnormal Biological Processes. In: Tsihrintzis, G., Virvou, M. (eds) Advances in Core Computer Science-Based Technologies. Learning and Analytics in Intelligent Systems, vol 14. Springer, Cham. https://doi.org/10.1007/978-3-030-41196-1_16

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  • DOI: https://doi.org/10.1007/978-3-030-41196-1_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-41195-4

  • Online ISBN: 978-3-030-41196-1

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