TCR-T Avidity Landscape: Hill-Equation Dose-Response & Population Kinetics
Interactive 2D companion to the 3D TCR-engineered T-cell simulator: instead of animating individual cells in a tissue field, it renders the underlying Hill-equation avidity model directly as a Kd-vs-antigen activation heatmap, and tracks the visible and MHC-I-escaped tumor sub-populations with an independent mean-field kinetic model.
TCR-engineered T-cell therapy modifies a patient's own T cells with a designer receptor that recognises a specific peptide fragment presented in an MHC-I molecule on the tumor surface, and every contact is scored by a Hill-type avidity model driven by receptor affinity, peptide-MHC density and antigen-presentation escape. Rather than re-rendering the 3D simulator's tissue field from a different camera angle, this 2D companion exposes that same equation directly: a Kd-versus-antigen-density heatmap shows the full activation-probability surface, with live markers for the tumor's visible and MHC-I-escaped sub-populations, while an independent mean-field kinetic model integrates tumor-cell depletion over time from the same probabilities — a genuinely 2D-native dose-response and population-kinetics view with no analogue in the spatial 3D scene.
The 2D companion to the 3D TCR-engineered T-cell simulator: instead of animating individual cells patrolling a tissue field, it renders the same Hill-equation avidity model directly as a Kd-vs-antigen-density activation heatmap with live markers for the visible and MHC-I-escaped tumor sub-populations, and integrates an independent mean-field kinetic model to track both sub-populations' depletion over time.
2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install