Prion Diseases as Attractor Medicine: Conformational False Attractors, Cross-Species Resistance, and Drug Target Derivation from the Identity Axis Framework

This paper extends the Identity Axis Framework (R = A/H) — previously applied to cancer, neurodegeneration, and psychiatric disease — to prion diseases, establishing a new table class: the protein conformational false attractor (Class 2 / Level 4). We derive why prion diseases are geometrically distinct from all other entries in the Attractor Medicine table: the unit of identity failure is not a cell but a single protein molecule, and the false attractor (PrPSc, beta-sheet conformation) is thermodynamically self-maintaining without an enzymatic Hub. The RPRION coordinate (energy barrier to false conformation / PrPSc templating efficiency) is introduced and validated against the cross-species resistance data: dogs (D163), rabbits (S174), horses (S167), and the Fore people of Papua New Guinea (G127V, Mead et al. , NEJM 2015). The Fore G127V evolution — complete prion resistance from a single amino acid change in four generations — is identified as the clearest documented case of natural selection raising RPRION by reinforcing the Identity Anchor of a protein. The standard Tier 2 Hub inhibitor drug logic fails for prion disease (the Hub is not a separate enzyme but the misfolded conformation itself), and the correct drug logic is derived to be substrate removal (ION717 PRNP-ASO, Phase 1/2, 2024) combined with conformation stabilisation (anle138b). A Tier 3 intervention — base editing G127V in PRNP — is derived as a permanent synthetic equivalent of the Fore evolution. The document introduces the four-level taxonomy of identity failure (gene regulatory, circuit connectivity, temporal/phase, protein conformational), unifies the Level 4 drug platform across all propagating protein diseases (prion, Alzheimer's tau, Parkinson's alpha-syn, Huntington's mHTT, ALS TDP-43), and derives the coupling between lifespan extension and sporadic CJD risk as a direct implication of the anti-aging framework. Nine claims are verified against published evidence; three novel predictions are locked with this timestamp.