Beyond reduction and emergence: a framework for tailoring multiscale modeling techniques to specific contexts

Rice, Collin

doi:10.1007/s10539-024-09949-x

Biol Philos

2024

DOI: 10.1007/s10539-024-09949-x

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Beyond reduction and emergence: a framework for tailoring multiscale modeling techniques to specific contexts

Collin Rice

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Systematizing cellular complexity: A Hilbertian approach to biological problems

Dehghani

2024

PLOS Complex Syst

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Examining individual components of cellular systems has been successful in uncovering molecular reactions and interactions. However, the challenge lies in integrating these components into a comprehensive system-scale map. This difficulty arises due to factors such as missing links (unknown variables), overlooked nonlinearities in high-dimensional parameter space, downplayed natural noisiness and stochasticity, and a lack of focus on causal influence and temporal dynamics. Composite static and phenomenological descriptions, while appearing complicated, lack the essence of what makes the biological systems truly “complex.” The formalization of system-level problems is therefore important in constructing a meta-theory of biology. Addressing fundamental aspects of cellular regulation, adaptability, and noise management is vital for understanding the robustness and functionality of biological systems. These aspects encapsulate the challenges that cells face in maintaining stability, responding to environmental changes, and harnessing noise for functionality. This work examines these key problems that cells must solve, serving as a template for such formalization and as a step towards the axiomatization of biological investigations. Through a detailed exploration of cellular mechanisms, particularly homeostatic configuration, ion channels and harnessing noise, this paper aims to illustrate complex concepts and theories in a tangible context, providing a bridge between abstract theoretical frameworks and concrete biological phenomena.

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Systematizing cellular complexity: A Hilbertian approach to biological problems

Dehghani

2024

PLOS Complex Syst

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Beyond reduction and emergence: a framework for tailoring multiscale modeling techniques to specific contexts

Cited by 1 publication

References 24 publications

Systematizing cellular complexity: A Hilbertian approach to biological problems

Systematizing cellular complexity: A Hilbertian approach to biological problems

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