Data-Rich, Insight-Poor / Executable evidence
Start hereA first pass through the model. No installation needed.
  1. Compare the reference curves

    Begin with the default settings and compare the three secondary concentrations. Every curve is simulated, not measured.

  2. Follow one simulation

    Trace receptor copies through surface assembly, productive payload, and fluorescence before exploring more settings.

  3. Compare signal with delivery

    Change “Permeability fluorescence” to “Cumulative productive delivery.” Then vary one receptor, trafficking, or timing setting at a time.

  4. Inspect the mathematics

    Read the illustrated article or Python code. Use the Colab notebook to run new parameter combinations.

The browser displays precomputed scenarios; it does not fit your data or solve arbitrary new settings. This uncalibrated model explores assumptions, not your assay’s predicted potency.

SYNTHETIC · UNCALIBRATEDLoading evidence…

More reagent. A different system.

Loading computed scenarios…

Primary × secondary concentration

Normalized to a modeled, fully permeabilized initial population.

0.1 nM secondary3 nM secondary100 nM secondary

Readout is an observation model

At the selected primary concentration and 3 nM secondary.

CommittedPermeabilityATP-like

Where does the response occur?

Death commitment in the innermost and outermost model shells, at the selected primary dose and 3 nM secondary.

Core
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Rim
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Interpretation boundary

A low, flat signal is not a rescued assay. A plateau can conceal an upstream hook. More secondary does not identify the failed step.

Inspect exact values for displayed curves

Follow one simulation

Start with 100,000 surface receptors per cell. Follow assembly, productive delivery, damage, and the signal that becomes visible later.

Fixed Reference biology · 150 µm radius · simultaneous addition · accumulation. This section is independent of the explorer controls above. Every snapshot is computed, not interpolated.

Time from simultaneous addition

Loading the verified trajectory…

Compare the three conditions at 72 hours
Fixed biology, different reagent concentrations. Counts are per initial cell.
MeasurementA 8.254 / S 3 nMA 1,000 / S 3 nMA 1,000 / S 100 nM

A recovered endpoint does not establish recovered delivery. More secondary can restore near-maximal fluorescence without restoring the original payload level. This is one illustrative parameter set, not a diagnosis of an experimental assay.

The model retains a fixed initial-cell receptor scaffold after death commitment. Late trafficking and payload counts may be overestimated and are not measurements in surviving cells. Fluorescence is normalized to a hypothetical fully permeabilized population, not calibrated CellTox Green RFU.

Read the full worked equations and assumptions →

What this model does not establish

These simulations do not identify a mechanism in a real assay. Effective 1:1:1 binding omits multivalent cross-linking; the three-shell geometry is deliberately coarse. Receptors persist on a fixed initial-cell scaffold after death commitment. Neither commercial kit calibration nor empirical fluorescence loss is assumed.

Reporter loss is off by default. The mechanism lab exposes it only as a stress test. “Protein recovery” is a generic downstream repair timescale, distinct from endosomal receptor degradation and surface internalization.

All delayed-addition comparisons here use the same clock from first addition. They therefore also differ in combined-reagent exposure duration. Precomplexing represents the equilibrium limit in the bath, not a particular incubation protocol.