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Cancer and Chaos and the Complex Network Model of a Multicellular Organism
Andrzej Gecow1, Laszlo Barna Iantovics2, Mesut Tez3
1Independent Researcher, 999038 Warsaw, Poland.
Biology
|September 23, 2022
Summary
This study reinterprets "genome chaos" as deterministic chaos within cell-modeling networks. It explores "life on the edge of chaos" and its implications for understanding cellular and organismal dynamics.
Area of Science:
- Theoretical biology
- Systems biology
- Cancer research
Background:
- Cancer research often explores theoretical models, with chaos theory being a promising avenue.
- Existing concepts like "genome chaos" and "life on the edge of chaos" use the term "chaos" differently, hindering coherent model development.
- Recent advancements in deterministic chaos, including the discovery of half-chaos, offer new perspectives on "life on the edge of chaos".
Purpose of the Study:
- To reconcile differing interpretations of "chaos" in theoretical cancer models.
- To propose a unified interpretation of "genome chaos" based on deterministic and half-chaos concepts.
- To provide a more intuitive framework for modeling cellular and organismal dynamics in cancer.
Main Methods:
- Interpreting "genome chaos" as deterministic chaos within a half-chaotic network model of the cell.
- Simulating evolutionary processes under a weaker form of natural selection to observe chaotic modules.
- Analyzing differences in modeling disturbances between free and somatic cells using half-chaotic networks.
Main Results:
- Deterministic chaos in large, half-chaotic network modules was identified as a model for genome chaos.
- Chaotic modules were observed in simulations of evolution influenced by reduced natural selection.
- Distinct modeling approaches for free and somatic cells using half-chaotic networks were discussed.
Conclusions:
- Reconciling "genome chaos" with deterministic chaos in half-chaotic networks offers a more intuitive modeling approach.
- The concept of half-chaos provides a deeper understanding of "life on the edge of chaos" at cellular and organismal levels.
- This framework facilitates further theoretical exploration of cancer dynamics and cellular disturbances.
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