HomeMedicine & BiophysicsTCR-Engineered T-Cell Therapy: Peptide-MHC Recognition

TCR-Engineered T-Cell Therapy: Peptide-MHC Recognition

Interactive 3D simulator of TCR-engineered T-cell therapy: watch engineered T cells scan tumor cells for peptide-MHC complexes, form immunological synapses, and kill or fail to kill depending on TCR affinity, antigen density, and MHC-I downregulation escape.

Medicine & Biophysics3DAdvanced60 FPS📱 Mobile-adapted⇄ 2D version
clinical-medicine-advanced ↗ Open standalone

TCR-engineered T-cell therapy modifies a patient's own T cells with a designer T-cell receptor that recognises one specific peptide fragment presented in an MHC-I molecule on the tumor surface — a fundamentally different recognition rule from CAR-T's direct surface-antigen grip. This simulator renders a 3D field of tumor cells and engineered T cells: T cells patrol the tissue, dock on nearby tumor cells to form an immunological synapse, and a Hill-type avidity model — driven by receptor affinity, peptide-MHC density, and clinically-observed MHC-I downregulation escape — decides whether that contact kills the tumor cell or fails. Adjust the receptor's dissociation constant, the tumor's antigen presentation, the fraction of MHC-low escape variants, and the size of the infused T-cell dose, and watch the live kill rate and immune-escape readouts respond in real time.

⚙ Under the hood

Watch engineered T cells patrol a tumor field, dock to form immunological synapses, and kill or fail to kill tumor cells depending on TCR affinity, peptide-MHC antigen density, and MHC-I downregulation escape.

immunotherapyT-cell receptorcancer immunologyMHCcell therapyoncology

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install

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