[Paper Review] Quantum information processing at the cellular level. Euclidean approach

Vasily Ogryzko|ArXiv.org|Jun 23, 2009

Advanced Thermodynamics and Statistical Mechanics76 references3 citations

TL;DR

This paper proposes a novel 'Euclidean approach' to modeling quantum information processing in living cells, introducing the concept of 'Catalytic Force' (Cf) as a harmonic-like reaction force that stabilizes cellular states near a quantum ground state for optimal enzymatic efficiency. By leveraging unitary evolution and the fluctuation-dissipation theorem, the framework enables a transition from ground state to growing state dynamics, with high-throughput DNA sequencing proposed as a tool to detect non-classical molecular correlations at the single-cell level.

ABSTRACT

Application of quantum principles to living cells requires a new approximation of the full quantum mechanical description of intracellular dynamics. We discuss what principal elements any such good approximation should contain. As one such element, the notion of "Catalytic force" Cf is introduced. Cf is the effect of the molecular target of catalysis on the catalytic microenvironment that adjusts the microenvironment towards a state that facilitates the catalytic act. This phenomenon is experimentally testable and has an intriguing implication for biological organization and evolution, as it amounts to "optimization without natural selection of replicators". Unlike the statistical-mechanical approaches to self-organization, the Cf principle does not encounter the problem of "tradeoff between stability and complexity" at the level of individual cell. Physically, the Cf is considered as a harmonic-like force of reaction, which keeps the state of the cell close to the ground state, defined here as a state where enzymatic acts work most efficiently. Ground state is subject to unitary evolution, and serves as a starting point in a general strategy of quantum description of intracellular processes, termed here "Euclidean approach". The next step of this strategy is transition from the description of ground state to that one of growing state, and we suggest how it can be accomplished using arguments from the fluctuation-dissipation theorem. Finally, given that the most reliable and informative observable of an individual cell is the sequence of its genome, we propose that the non-classical correlations between individual molecular events at the single cell level could be easiest to detect using high throughput DNA sequencing.

Motivation & Objective

• To develop a new quantum mechanical approximation for intracellular dynamics that avoids the limitations of statistical-mechanical models.
• To address the 'tradeoff between stability and complexity' in individual cells without relying on natural selection of replicators.
• To define a quantum ground state for cellular function where enzymatic activity is maximally efficient.
• To establish a framework for transitioning from the ground state to dynamic, growing cellular states using physical principles.
• To propose high-throughput DNA sequencing as a method to detect non-classical correlations in single-cell molecular events.

Proposed method

• Introduce 'Catalytic Force' (Cf) as a harmonic-like reaction force that adjusts the microenvironment to favor catalytic events.
• Define the cellular ground state as the quantum state where enzymatic functions operate with maximal efficiency, evolving unitarily.
• Apply the fluctuation-dissipation theorem to model the transition from the ground state to a growing, non-equilibrium state.
• Use the ground state as a reference point for describing dynamic cellular processes in a quantum information-theoretic framework.
• Frame the entire description within a Euclidean quantum formalism, avoiding path integral or stochastic methods.
• Propose DNA sequencing as a high-resolution observable to detect non-classical correlations in single-cell molecular dynamics.

Experimental results

Research questions

• RQ1 How can quantum principles be consistently applied to model intracellular dynamics at the cellular level without invoking statistical-mechanical tradeoffs?
• RQ2 What physical mechanism could maintain cellular states near a quantum ground state to optimize enzymatic function?
• RQ3 How can the transition from a stable ground state to a dynamic, growing cellular state be described within a quantum framework?
• RQ4 What observable signatures could reveal non-classical correlations in molecular events within a single living cell?
• RQ5 In what way can high-throughput DNA sequencing serve as a probe for detecting quantum effects in cellular processes?

Key findings

• The concept of 'Catalytic Force' (Cf) provides a physically meaningful, testable mechanism that stabilizes the catalytic microenvironment toward optimal enzymatic function.
• The ground state, defined as the configuration of maximal enzymatic efficiency, evolves unitarily and serves as the foundation for the Euclidean approach.
• The fluctuation-dissipation theorem enables a systematic transition from the ground state to a growing, non-equilibrium state in cellular dynamics.
• The framework avoids the 'stability-complexity tradeoff' inherent in traditional self-organization models by embedding quantum coherence at the single-cell level.
• High-throughput DNA sequencing is proposed as the most reliable and informative method to detect non-classical correlations in individual cells.
• The model suggests a mechanism for 'optimization without natural selection of replicators', offering a new perspective on biological organization and evolution.