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PreprintCC BY 4.0Zenodo

Feynman–Scretching Diagrams as a Molecular Quantum Electrodynamics-to-DNA Observable Mapping

  1. 1Scretching Quantum Press LLC

Abstract

This research paper develops the proposed Feynman–Scretching Quantum Molecular Biology framework, establishing a theoretical hierarchy connecting quantum electrodynamic (QED) interaction amplitudes with measurable DNA optical, thermodynamic, and buoyant-density properties. The study integrates molecular Hamiltonians, electromagnetic response functions, historical DNA density calibrations, and sequence-dependent strand composition to investigate potential relationships between microscopic quantum interactions and macroscopic molecular observables. Using established empirical equations, the analysis reproduces a duplex DNA buoyant density of 1.709000 g/cm³ at 50% GC content and an averaged denatured-strand density of 1.723800 g/cm³. Complementary TTAGGG and CCCTAA sequences yield predicted single-strand densities of 1.730917 and 1.716683 g/cm³, respectively, demonstrating a calculated strand-density asymmetry despite identical duplex GC composition. The research also examines a historical slope-square relationship yielding 0.007336265104, approximately 0.5332% above the electromagnetic fine-structure constant (α). These results are reproducible mathematical consequences of empirical relationships rather than new experimental measurements or independently derived QED predictions. By distinguishing established molecular physics, algebraic identities, and proposed quantum-electrodynamic extensions, the paper introduces a falsifiable computational framework for evaluating DNA structure–property relationships through molecular quantum chemistry, controlled solvent experiments, uncertainty analysis, and independent experimental validation. Its broader predictive significance remains an open scientific question.

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BibTeX
@misc{scretching2026feynmanscretching,
  title = {{Feynman–Scretching Diagrams as a Molecular Quantum Electrodynamics-to-DNA Observable Mapping}},
  author = {Daniel Scretching},
  howpublished = {Zenodo},
  year = {2026},
  month = oct,
  doi = {10.5281/zenodo.23441624},
  url = {https://zenodo.org/records/23441624},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Feynman–Scretching Diagrams as a Molecular Quantum Electrodynamics-to-DNA Observable Mapping
AU  - Daniel Scretching
PY  - 2026
DA  - 2026/10/17
PB  - Zenodo
DO  - 10.5281/zenodo.23441624
UR  - https://zenodo.org/records/23441624
AB  - This research paper develops the proposed Feynman–Scretching Quantum Molecular Biology framework, establishing a theoretical hierarchy connecting quantum electrodynamic (QED) interaction amplitudes with measurable DNA optical, thermodynamic, and buoyant-density properties. The study integrates molecular Hamiltonians, electromagnetic response functions, historical DNA density calibrations, and sequence-dependent strand composition to investigate potential relationships between microscopic quantum interactions and macroscopic molecular observables. Using established empirical equations, the analysis reproduces a duplex DNA buoyant density of 1.709000 g/cm³ at 50% GC content and an averaged denatured-strand density of 1.723800 g/cm³. Complementary TTAGGG and CCCTAA sequences yield predicted single-strand densities of 1.730917 and 1.716683 g/cm³, respectively, demonstrating a calculated strand-density asymmetry despite identical duplex GC composition. The research also examines a historical slope-square relationship yielding 0.007336265104, approximately 0.5332% above the electromagnetic fine-structure constant (α). These results are reproducible mathematical consequences of empirical relationships rather than new experimental measurements or independently derived QED predictions. By distinguishing established molecular physics, algebraic identities, and proposed quantum-electrodynamic extensions, the paper introduces a falsifiable computational framework for evaluating DNA structure–property relationships through molecular quantum chemistry, controlled solvent experiments, uncertainty analysis, and independent experimental validation. Its broader predictive significance remains an open scientific question.
ER  -