Biocompiler
← Back to the story Model & sources

BEHAVIOR → MOLECULAR PROCESSES → RESPONSE

Program a virtual red cell.

Write a model command. Inspect every lowering step.
Watch the resulting pathway dynamics unfold.

BIOCOMPILER / ANIMATED IN BLENDER

Watch a command become a pathway.

Edit the command below ↓
PROTOCOL → MODEL SIMULATIONprotocol single · variant baseLoading Blender sequence…
Blender-authored command-to-molecular-pathway scene
01 / 06AUTHOR A COMMAND
Representation animation

Author a simulation command.

A command specifies a protocol and the response to observe.

CommandModel mappingClose-upRecap
0.0 / 66 s
Inspect the exact representation Source, units, equations and selected configuration

The links show how representations map to model components. No source-code particles or physical cell construction are implied.

Blender animates the lowering representations and mapping links. The response chapter replays the selected numerical run; transport particles are schematic.

THE LIVE EXPERIMENT

Change the command. Follow the consequences.

Blender-rendered red blood cell with schematic membrane channels
02 / MOLECULAR MICROARCHITECTURE

A shared calcium signal.

Explore the membrane machinery.

Loading Blender scene…
READY0.00 s

Blender-authored 3D · drag to orbit · scroll to zoom
Enlarged schematic proteins and ion paths; fixed cell geometry.

0 s30 s60 s
Free calcium—µM · cell water
Gardos activation—fraction of modeled maximum
PMCA outward flux—mmol / (Loc · h)

03 / OBSERVE THE RESPONSE

One input. Coupled consequences.

Free intracellular calcium

µM

A prescribed permeability pulse admits calcium. Buffering and PMCA shape its trajectory.

Cumulative potassium loss

mmol / Loc

Calcium can recover while potassium remains lost. Recovery of one signal is not a whole-cell reset.

Peak free calcium—
Potassium loss at 60 s—
Numerical methodRK4 · event restarts
Evidence statusModel-only

Lines connect sampled model values. Animation intensity follows the trace; individual particles are explanatory. Loc = litre of initial reference cells. The no-pulse reference retains basal drift.

BUILT FROM PUBLIC KNOWLEDGE

A software laboratory.
A visible evidence boundary.

We can develop, inspect and test this entire workflow without a wet lab. Public equations supply a starting model; independent observations can later test where it predicts real cells.

Download the RBC 3D asset ↗
Download the animated lowering sequence ↗
Download the molecular close-up ↗
What is being simulated?

A fixed-clamp reduction of published red-cell model equations: prescribed calcium entry, rapid calcium buffering, calcium-dependent Gardos conductance, and PMCA extrusion. The model integrates shared calcium and potassium state over 60 seconds. This browser solver is a separate demonstrator, not the qualified B4.2 backend.

What does the command control?

It selects a timed calcium-permeability schedule and one of the admitted diagnostic equation variants. These are model inputs. No demonstrated mechanism for delivering a software command to a physical erythrocyte is claimed. Removing a model term is a diagnostic calculation, not a validated biological intervention.

What do the 3D visuals represent?

The cell, channel assemblies and transport paths are authored in Blender. Proteins are enlarged schematic forms, not experimentally determined atomic structures. The animation replays Blender transport clips using model-derived activity. Spatial layout, particle counts and travel times are illustrative; cell deformation, ATP depletion and water movement are not calculated.

How can public data improve this?

Next: reproduce published benchmarks, curate species- and protocol-matched observations, define measurement mappings, reserve held-out comparisons, and add sensitivity/uncertainty ensembles. Fluorescence measurements need an observation model before comparison with calcium concentration. A dynamic volume or voltage model would be a separately versioned extension.