AlphaFold Substrate Alignments#
Terminology#
This appendix defines the terminology used throughout the AlphaFold Substrate Alignments artifact. Terms are presented in a substrate‑agnostic, model‑independent manner and apply to any biological inference engine with comparable structural and latent‑space characteristics.
1. Substrate Terms#
Substrate#
A structured, model‑agnostic framework that defines stable axes, primitives, and invariants for interpreting high‑dimensional inference systems.
Substrate Axis#
One of the three primary axes (S‑axis, I‑axis, R‑axis) used to map structural, latent‑space, and resonance‑time behavior.
Substrate Primitive#
A minimal structural unit used to define substrate behavior, including Dimensional Cores, Resonance Primitives, and Inference Projections.
Substrate Invariant#
A property that remains stable across inference cycles, model versions, and dimensional projections.
2. Axis Definitions#
S‑axis (Structural Axis)#
Represents geometric and topological features of predicted protein structures, including backbone orientation, motif‑level coherence, and residue‑interaction geometry.
I‑axis (Inference Axis)#
Represents latent‑space structures such as attention‑map coherence, pairwise embeddings, and track‑level alignment signals.
R‑axis (Resonance‑Time Axis)#
Represents inference‑cycle behavior, including convergence, oscillation, divergence, and regime transitions.
3. Dimensional Terms#
Dimensional Core#
A stable geometric substrate used for projection and interpretation.
Includes the 3D structural core, 6D interaction core, and 9D coherence core.
3D Core#
Captures physical geometry and motif‑level structure.
6D Core#
Captures interaction‑level structure and residue‑pair coherence.
9D Core#
Captures folding‑pathway coherence and resonance‑time alignment.
High‑Dimensional Extension#
Projection of latent‑space structures into dimensions beyond 9D (e.g., 32D–128D) while preserving substrate invariants.
4. Regime Terms#
Folding Regime#
A classification of folding behavior into stable, transitional, or high‑uncertainty states.
R₁ (Stable Regime)#
A regime where structural and latent‑space signals converge consistently.
R₂ (Transition Regime)#
A regime characterized by oscillatory or branching behavior during structural reorientation.
R₃ (High‑Uncertainty Regime)#
A regime where predictions exhibit high variance and weak motif‑level coherence.
5. Inference Terms#
Latent‑Space Structure#
Internal model representations such as attention maps, pairwise embeddings, and track‑level signals.
Inference Cycle#
A single pass or iteration of the model’s internal reasoning process.
Coherence Surface#
A stable region in latent space where folding predictions converge.
Inference Projection#
A mapping from latent‑space structures onto substrate axes.
6. Validation Terms#
vST (Validation‑Space‑Time)#
A validation framework that evaluates structural coherence, latent‑space stability, regime behavior, and dimensional‑core alignment.
Validation Layer (V₁–V₄)#
A structured evaluation step within vST, each corresponding to a specific substrate property.
7. Drift Terms#
Drift#
A deviation from expected substrate behavior, indicating model degradation or instability.
Drift Category (D₁–D₄)#
Classification of drift into structural, latent‑space, regime, or dimensional‑core drift.
Drift Severity#
A measure of the magnitude of drift, ranging from low to high.
8. Example Terms#
Dimensional Projection#
The process of mapping high‑dimensional inference structures into 3D–9D cores.
Regime‑Aware Projection#
A projection that preserves regime identity (R₁, R₂, R₃).
Alignment Walkthrough#
A step‑by‑step demonstration of substrate alignment applied to a specific inference output.