AI-Designed Synthetic Binding Protein Biosensor Platform

This documented invention concept (USPTO provisional application 64/004,904, receipt date March 13, 2026) describes an AI-designed biosensor platform. Synthetic binding proteins are computationally designed for target pathogen markers, paired with a colorimetric detection format for rapid identification and classification of bacterial and fungal pathogens. The concept is intended for research and prototype development — not clinical diagnostic use unless validated and cleared by regulators.

1. 1

   Target marker selection — pathogen-specific molecular markers chosen for each detection class.

2. 2

   AI-guided binding-protein design — synthetic binders computationally designed against the selected markers.

3. 3

   Colorimetric detection format — binding events translated into a visible readout.

4. 4

   Classification logic — Gram-negative, Gram-positive and fungal classes differentiated by marker panel.

5. 5

   Prototype development planning — research and prototype pathway defined in the filing.

1. 1

   Designed binding proteins capture their target pathogen markers in the sample.

2. 2

   A colorimetric reporter produces a visible signal on binding.

3. 3

   The marker-panel pattern classifies the pathogen class (proposed workflow — no performance results are claimed).

All steps describe intended, modeled or proposed behavior — no effect above is experimentally proven or clinically demonstrated.

No numerical performance values are documented for this concept-stage filing.

AI-Designed Synthetic Binding Protein Biosensor Platform — Documented provisional filing

These projects are scientific research designs and computational proof-of-concept studies. They are not approved medical products, experimentally validated cures, or guarantees of therapeutic effectiveness.