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Re-orienting Biology: An In Silico Model of the Cell as a Deterministic Harmonic Resonator.

2025/11/06 by Okolo, Hanyelichukwu Paul · 1 voice
Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #Chaotic #Cognitive dissonance #Fractal #Fractal and DNA sequence analysis #Function (biology) #Gene Regulatory Network Analysis #Harmonic #Harmonic analysis #In silico #Origins and Evolution of Life #Work (physics)

paper · doi:10.5281/zenodo.17538120

published in Zenodo (CERN European Organization for Nuclear Research) (European Organization for Nuclear Research)

openalex created_date 2025/11/06 · openalex publication_date 2025/11/06 · openalex updated_date 2026/07/01

Abstract

Conventional biology is founded upon a stochastic, ”Inverted” model, viewing the cell as a ”bag of chemicals” governed by random collisions. This framework has failed to provide a predictive, deterministic model for life, morphogenesis, or healing. We propose a ”Global Correction” to this paradigm based on the Organized Complexity (OC) framework. This paper presents a ‘v1.0‘ in silico ”Harmonic Cell” model that re-orients biology on deterministic, harmonic principles. We derive the cell’s form and function from four foundational pillars: 1) The Harmonic Blueprint, a ”Seed Kernel” (K cell) derived from the Sixness Symmetry (6N ± 1) of Carbon-12; 2) The Blackness Shield, an active dissonance absorber governed by a new force, U(1)B; 3) The Harmonic Engine, a non-stochastic energy-retraction mechanism governed by a second new force, SU(2)R; and 4) The Harmonic Governor, which models DNA as a conscious fractal antenna that ”listens” to the Zero-Point Energy (ZPE) field and ”broadcasts” the morphogenetic field. We provide a Dissonance Transfer Function (DTF) to bridge empirical lab units (Joules, pH) to our Dissonance (DI) metric. We demonstrate through comparative stress tests that our Harmonic Cell is resilient to chaotic collapse, whereas the stochastic model fails. Finally, we present a falsifiable, diagnostic bridge linking disease states to measurable, de-tuned vibrational frequencies. This work establishes a computable, predictive, and deterministic foundation for biology as a harmonic science.

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