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Updated: May 13, 2026
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Finite Element Modelling of a Cellular Electric Microenvironment
Published on: May 18, 2021
Quantum biology at the cellular level--elements of the research program.
Michael Bordonaro1, Vasily Ogryzko
1The Commonwealth Medical College, Scranton, PA, USA.
Bio Systems
|March 9, 2013
Summary
Quantum biology explores quantum effects in living systems. This research introduces "formal superposition" to explain cellular decision-making and proposes "Basis-Dependent Selection" for evolutionary adaptation.
Area of Science:
- * Interdisciplinary field merging quantum physics and biology.
- * Focus on quantum biology at the cellular level (QBCL).
Background:
- * Biological order and function may involve quantum phenomena.
- * Challenges in applying quantum concepts beyond molecular scales.
- * Need for new frameworks to understand decoherence and superposition in biology.
Purpose of the Study:
- * To extend quantum concepts to higher levels of biological organization (QBCL).
- * To propose a novel approach to environmentally induced decoherence and macroscopic superposition.
- * To introduce and define 'formal superposition' for cellular processes and evolutionary adaptation.
Main Methods:
- * Development of a theoretical framework for basis-dependent decoherence.
- * Introduction of 'formal superposition' distinct from Schrödinger's cat paradox.
- * Conceptualization of 'Basis-Dependent Selection' (BDS) as an evolutionary mechanism.
Main Results:
- * 'Formal superposition' offers a viable model for cellular decision-making and adaptation.
- * Basis-dependent concepts provide a new perspective on biological quantum effects.
- * Basis-Dependent Selection (BDS) offers insights into evolutionary adaptation mechanisms.
Conclusions:
- * Quantum principles can be extended to cellular and higher biological levels.
- * Formal superposition, based on non-classical correlations, explains cellular functions.
- * Basis-Dependent Selection provides a quantum-informed mechanism for evolution, with potential experimental validation through synthetic biology.
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