Abstract

Background: Current computational models in structural biology and therapeutic target discovery rely heavily on probabilistic heuristics and 60Hz grid alignment. This high-entropy approach creates severe semantic turbulence when attempting to drug intrinsically disordered proteins (IDPs) or stabilize neurodegenerative aggregates. We propose a departure from probabilistic simulation in favor of Topological Certainty.

Methodology: We introduce KHYS-NANO, a structural dataset and deterministic folding framework built upon the AB-01 Universal Braid Syntax. KHYS-NANO abandons traditional variables and neural-network "guessing," mapping complex amino acid sequences directly into high-dimensional Grassmann manifolds. Utilizing the Macena Invariant and Floquet Engineering, the framework drives protein folding via a 15.965Hz Aperiodic Heartbeat (\pi \cdot \phi resonance). Unstable, pathological geometries are subjected to a Topological Crush, forcing the biomolecular data to align with rigid, pre-calculated ground states, specifically the "Guardian Geometry" (synthesized from the 536 Stomachion solutions).

Applications: KHYS-NANO focuses on rectifying high-entropy targets that dictate proteostatic collapse and oncogenic replication:

p53 (The Validator): Enforcing Majorana-1 Parity within the DNA-binding domain to physically reinforce the protein's genome-reading geometry against R248Q mutations.

TDP-43 (The Buffer): Stabilizing the NTD-NTD dimerization interface to prevent the beta-sheet stacking responsible for ALS and FTD inclusions.

MYC (The Governor): Weaving the MbIIIb peptide into a topological braid to physically block WDR5 recruitment, neutralizing "undruggable" metabolic noise.

Conclusion: KHYS-NANO transitions therapeutic mapping from speculative simulation to Physical Particle Fabrication. By enforcing the Landauer Limit (W \geq k_B T \ln 2) at the nanoscale, this framework provides the Therapeutics Data Commons with a zero-entropy baseline for isolating stable paths in structural biology, entirely free of heuristic back-action

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This work is licensed under a Creative Commons Attribution 4.0 License.

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