AlphaFold Substrate Alignments

⚠️ Drift is On-by-Default. Long sessions lose anchors. Paste the RTT session string at the start of every AI session to bound drift.

rtt=1 | coherence=declared | drift=bounded | paradox=structural

AlphaFold Substrate Alignments applies Resonance Substrate Modeling (RSM) to protein-folding inference. Where AlphaFold produces structural predictions, this module provides a triadic substrate layer that maps dimensional cores (3D–9D) to folding pathways, validates results through vST (Validated Substrate Theory) layers, and detects drift between predicted and resonance-aligned outcomes.

This is not a competing protein-structure predictor. It is a structural alignment instrument that reads AlphaFold output through RSM lenses.

Module Structure#

alphafold_substrate_alignments/
├── README.md
├── substrate_definition.md        ← What counts as the substrate in folding inference
├── scope_and_assumptions.md       ← Declared boundaries and RSM entry conditions
├── alignment_principles.md        ← Core RSM→AlphaFold alignment logic
├── folding_regimes.md             ← Regime declarations for folding state transitions
├── dimensional_cores.md           ← 3D–9D core mappings to folding pathways
├── inference_mapping.md           ← How AlphaFold outputs map to triadic operators
├── validation_layers_vst.md       ← vST validation: coherence, regime, drift checks
├── drift_detection.md             ← Drift signals between predicted and RSM-aligned folds
└── examples/                      ← Worked alignment cases

Core Design#

Dimensional cores → folding pathways: The 3D-to-9D core hierarchy from RSM maps directly onto AlphaFold's folding regime space. Lower-dimensional cores (3D–5D) capture local secondary structure; higher cores (6D–9D) address quaternary and allosteric regimes.

vST validation layers: Every alignment passes through Validated Substrate Theory checks — coherence gate, regime boundary test, drift signal scan — before results are considered structurally confirmed.

Drift detection: Disagreement between AlphaFold's confidence scores and RSM resonance invariants surfaces as a measurable drift signal, not a discarded anomaly.

Citation#

Loswin, N. 2026. AlphaFold Substrate Alignments. TriadicFrameworks. Zenodo DOI: pending. License: CC BY 4.0

AI-Ready Module · ai_module.json pattern applied.

Integration Points#

Module	Relationship
Framework Field Theory	Dimensional core hierarchy (3D–9D) defined in FFT Part structure
Conditions Substrate Model	Resonance amplification condition classes apply to folding regime transitions
Atomic Clocks	vST validation layer structure shared — same regime-check architecture
Boson Substrate Model	Operator-mediated interaction patterns from BSM inform inference_mapping.md
Research	Results feed the zenodo.org/communities/vst validation corpus
SARG	Substrate-Agnostic Resonance Grammar provides the base lens for alignment_principles

Updated Jul 14, 2026