Virtual Mitochondria

Physics-Derived Virtual Mitochondria: Zero-Shot Prediction from First Principles

The Infoton mitochondria cell is a species agnostic, zero-parameter, physics-derived platform which requires no training data from the target cell type, makes no use of machine learning, and fits no parameters to observed expression data. Every prediction derives from m(T) = kBT ln(|2⟩) / c² [1], which assigns each protein in the human transcriptome an exact thermodynamic coordinate derived solely from its amino acid composition and atomic masses from AME2020. Because the physics does not change between cell types, the framework generalizes to any cell with no retraining required.

Physics Life, not statistical Inference

The Virtual Mitochondria organism moves because its membrane potential computes a frequency through ω = eΔΨm/ℏ, that frequency charges a leaky integrator, the integrator fires a motor impulse when it crosses threshold, the impulse propagates through a segmented body by chain kinematics, and the segments undulate by peristaltic wave. Every behavior, gliding, reversing, fragmenting, clustering, dying, emerges from the same physics equations in The Quantum Heartbeat of a Mitochondria paper.

The Infoton equation m(T) = kBT ln(|2⟩) / c² is the foundational physics and the Virtual Mitochondria organism moves at that frequency. The entire Cs containment integral measures whether it stays alive. The organism on screen is running on the same physics that runs inside every mitochondrion in your body right now. The digital version and the biological version are solutions to the same equation under different boundary conditions.

The Virtual Mitochondria goes beyond simulating life. I derived mitochondria functionality from information physics and let it run.

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You can read and download the paper on

The Quantum Heartbeat of Mitochondria

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Infoton API (coming Soon)

Static stage endpoints.

Zero-shot prediction endpoints.

Static stage endpoints.

Query a gene at a developmental stage, get back its Landauer mass, logT, logm, FRAC_ON, MEAN_EXPR. Simple lookup. Low compute. High volume potential from researchers querying individual genes.

Transition endpoints.

Zero-shot prediction endpoints.

Static stage endpoints.

Query a gene across a transition (e.g. E8.25 to E8.75), get back SWITCH status, delta Landauer, delta expression, direction. This is where the physics insight lives. A pharma company asking "what happens to gene X during this developmental window" gets a physics-derived answer.

Zero-shot prediction endpoints.

Premium tier. Submit a gene or gene set, get back a physics-derived prediction for a stage or species not in the training data.

Infoton Is in Competing in the following Virtual Challenges

Arc Institute Virtual Cell Challenge

The Infoton Virtual Cell predicts human gene expression with physics. No neural networks. No training data beyond what was provided. No learned parameters. No AI modeling.

Opens August 20, 2026

VCC Info

Stanford Virtual Embryo Challenge

Arc Institute Virtual Cell Challenge

The Infoton Virtual Embryo predicts mouse cardiac and whole-embryo gene expression with physics. No neural networks. No trained AI models. No learned parameters.

Opens August 10, 2026

VEC Atlas

for Krystalee Krey, The Woman who uplifted Humanity

Physics-Derived Virtual Mitochondria: Zero-Shot Prediction from First Principles

First Digital Living Mitochondrion

Physics Life, not statistical Inference

Learn More

Infoton API (coming Soon)

Static stage endpoints.

Zero-shot prediction endpoints.

Static stage endpoints.

Transition endpoints.

Zero-shot prediction endpoints.

Static stage endpoints.

Zero-shot prediction endpoints.

Zero-shot prediction endpoints.

Zero-shot prediction endpoints.

Infoton Is in Competing in the following Virtual Challenges

Arc Institute Virtual Cell Challenge

Arc Institute Virtual Cell Challenge

Arc Institute Virtual Cell Challenge

Stanford Virtual Embryo Challenge

Arc Institute Virtual Cell Challenge

Arc Institute Virtual Cell Challenge

for Krystalee Krey, The Woman who uplifted Humanity

Physics-Derived Virtual Mitochondria: Zero-Shot Prediction from First Principles

First Digital Living Mitochondrion

Physics Life, not statistical Inference

Learn More

Infoton API (coming Soon)

Static stage endpoints.

Zero-shot prediction endpoints.

Static stage endpoints.

Transition endpoints.

Zero-shot prediction endpoints.

Static stage endpoints.

Zero-shot prediction endpoints.

Zero-shot prediction endpoints.

Zero-shot prediction endpoints.

Infoton Is in Competing in the following Virtual Challenges

Arc Institute Virtual Cell Challenge

Arc Institute Virtual Cell Challenge

Arc Institute Virtual Cell Challenge

Stanford Virtual Embryo Challenge

Arc Institute Virtual Cell Challenge

Arc Institute Virtual Cell Challenge

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