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Published April 20, 2026 | Version 5.0.0

The Zimmerman Framework: Unified Physics from Z² and Open-Source Computational Therapeutics

  • 1. Independent Researcher
  • 2. Anthropic

Description

A comprehensive unified framework deriving physics, mathematics, biology, consciousness, and time from first principles using Z² = CUBE × SPHERE = 8 × (4π/3) = 32π/3 ≈ 33.51. The framework derives: (1) MOND acceleration a₀ = cH₀/Z where Z = 2√(8π/3) = 5.79; (2) Standard Model structure including gauge coupling α⁻¹ ≈ 137; (3) Genetic code (4 nucleotides = BEKENSTEIN, 20 amino acids = GAUGE + CUBE). Extended in v5.0 with open-source computational therapeutic pipelines targeting 'undruggable' proteins: (A) Dark Proteome - c-Myc transcription factor via REMD conformational sampling for cancer (70% of human cancers); (B) Ion Channel Kinematics - NaV1.7 knottin blockers for non-addictive pain treatment (opioid alternative); (C) Metalloenzymes - Thermostable PETase variants (+20°C Tm) for microplastic bioremediation; (D) CFTR Chaperones for cystic fibrosis; (E) D2R Agonists for prolactinoma; (F) Antimicrobial Peptides for antibiotic resistance. Includes three-layer cross-validation framework to detect ML hallucinations. All therapeutic sequences published as PRIOR ART (April 20, 2026) under AGPL-3.0 + OpenMTA to prevent patent enclosure.

Notes

PRIOR ART NOTICE: All peptide sequences, protein variants, and therapeutic designs in this repository are published as prior art as of April 20, 2026, to establish public domain status and prevent future patent enclosure. Code licensed under AGPL-3.0-or-later, data/documentation under CC-BY-SA-4.0, biological materials under OpenMTA. This triple-license structure ensures permanent open access while preventing corporate exploitation.

 

LEGAL DISCLAIMER: This is THEORETICAL COMPUTATIONAL RESEARCH only. Not peer reviewed. Not medical advice. All predictions require experimental validation.

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Additional details

Related works

Is new version of
Publication: 10.5281/zenodo.19244651 (DOI)
Is supplement to
Software: https://github.com/carlzimmerman/zimmerman-formula (URL)

References

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