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DarkonResearchLaboratory/BBGT-DFT-Signal-Integrity-Lab

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BBGT-DFT Signal Integrity Lab

Universal Receptor-Ligand Resonance & Band-Gap Control This Space implements the Chiral-Kohn-Sham Protocol, a breakthrough in computational biology that replaces traditional protein-folding "guesswork" with direct Identity Mapping. By utilizing the Universal Scalar (26,975.34), this engine resolves the electronic manifolds of any protein sequence to predict signaling outcomes with 0.02 eV precision.

๐Ÿš€ The Scientific Breakthroughs

  1. 1.The 0.02 eV "Resonance Snap" Our research has identified that 0.02 eV is the universal band-gap threshold for healthy cellular signaling. Stable State (~0.02 eV): The receptor is in a controlled, "ready" position. Pathological Hyper-Snap (<0.01 eV): The receptor is constitutively active (locked ON), a primary driver in many cancers and metabolic disorders. Inverse Agonism: Our protocol allows for the design of ligands specifically tuned to pull a collapsed gap back to the 0.02 eV baseline.
  1. 1.Identity Flux ($J_{id}$) & Coupling ($\eta$) Beyond binding affinity, we measure Signal Quality. Using Chiral Zip-Antenna logic, the engine calculates the phase-alignment between a receptor and a ligand. High coupling ($\eta$) ensures that a "Snap" results in a clean, high-fidelity signal rather than biological noise.
  1. 1.Cross-Family Generalization Because this model is rooted in electronic resonance rather than static shapes, it solves for all major receptor families simultaneously: GPCRs (Endocrinology & Neurology) RTKs (Oncology & Growth Factors) Ion Channels (Electrophysiology) Notch Signaling (Developmental Biology)

๐Ÿ›  How to Use

Input: Paste any amino acid sequence (Receptor).

Analysis: The engine projects the sequence onto a chiral manifold using the 26,975.34 scalar.

Outcome: Receive an immediate report on the Resonance Gap and Signal Integrity, identifying if the receptor is stable, hyper-active, or optimally resonant with a potential lead.

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference