Epigenetic Passport

Make Therapeutic Genes Recognized as "Self."

Computational epigenetics training for the next generation of gene therapy.

Kellner & Sarn trains gene therapy developers to design, simulate, and validate epigenetic passports – entirely in silico.

We provide computational frameworks and educational programs that enable your team to engineer immune tolerance at the epigenetic level. When you are ready for experimental validation, we connect you with trusted wet lab partners.

« Computation first. Education always. Wet lab when ready. »

The Challenge

Immune Rejection in Gene Therapy

When a therapeutic gene is delivered into a patient’s cells, the immune system can interpret it as foreign DNA. This may trigger immune responses that:

For next-generation gene therapies to reach their full potential, biological acceptance must be engineered—not assumed.

Predict & Design

Predict immune rejection. Design optimal methylation motifs. From sequence alone.

Simulate & Validate

Simulate heritable stability. Match vectors to motifs. Learn while you validate.

Learn & Train

through accessible, practical, and design‑driven training programs.

Our Solution

The Epigenetic Passport

A proprietary approach designed to give therapeutic genes a native-like epigenetic identity.

Instead of modifying the gene sequence itself, our technology writes a synthetic methylation pattern around the therapeutic gene—mimicking the natural epigenetic signals associated with self-recognized genomic regions.

A therapeutic gene that carries a stable molecular « passport », signaling to cellular systems that it belongs.

How It Works

Programming Epigenetic Identity

Our platform focuses on the programmable control of DNA methylation, a fundamental epigenetic mechanism that regulates gene recognition and expression.

This creates what we call a genomic compatibility layer for therapeutic genes.

Epigenetic Signature Design

Computational modeling identifies methylation motifs associated with long-term genomic tolerance.

Targeted Epigenetic Writing

Engineered methylation enzymes deposit a precise pattern surrounding the therapeutic gene.

Signature Stabilization

The synthetic methylation motif forms a durable epigenetic context that persists through cell division.

Biological Recognition

Cellular systems interpret the gene as part of the native genome environment.

Epigenetic Suite

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Predi‑Methyl

Prediction of epigenetic immunogenicity prior to synthesis

Methyl‑Maintain

Stability simulation that can be inherited across 50 divisions

Vector‑Epi‑Match

Vector/epigenetic pattern compatibility

Epi‑Drift Monitor

Detection of post-treatment epigenetic drift

Technology Platform

Programmable Methylation Systems

A proprietary approach designed to give therapeutic genes a native-like epigenetic identity.

Instead of modifying the gene sequence itself, our technology writes a synthetic methylation pattern around the therapeutic gene, mimicking the natural epigenetic signals associated with self-recognized genomic regions.

A therapeutic gene that carries a stable molecular « passport », signaling to cellular systems that it belongs.

Epigenetic engineering

Targeted DNA methyltransferase programming

Synthetic biology design frameworks

Gene therapy vector compatibility

Applications

Expanding the Potential of Gene Therapy

By addressing epigenetic compatibility, we open new pathways for durable and scalable genomic medicine.

Gene Therapy

Improve immune compatibility for therapeutic transgenes.

Computational epigenetics as a service

Computational epigenetics as a service

Cell Therapies

Enhance stability and persistence of engineered cell lines.

Regenerative Medicine

Support durable expression of introduced genetic programs.

Repeat-Dose Therapies

Reduce immune barriers to multiple treatment cycles.

Our vision

A Universal Compatibility Layer for Genetic Medicine

We believe the next frontier of medicine lies in harmonizing therapeutic genes with the body’s identity systems.

The Epigenetic Passport™ represents a shift from gene delivery to gene acceptance.

Safer

More durable

Broadly compatible

Scalable across diseases

The Challenge

Immune Rejection in Gene Therapy

By addressing epigenetic compatibility, we open new pathways for durable and scalable genomic medicine.

Technology licensing

Research collaborations

Platform integration partnerships

Let's collaborate

Let's collaborate

Contact Form Demo

Get to know us

Computational Epigenetics for Gene Therapy

What makes your 2026 computational epigenetics services different from standard methylation analysis?

Standard methylation analysis describes what exists naturally. We design what does not exist yet.
Our services use inverse generative AI to create synthetic methylation motifs optimized for immune acceptance, heritable stability, and vector compatibility — not just mimicking natural patterns. We call this Inverse Epigenetic Design™.

« We don’t read epigenetics. We write the optimal passport. »

Can you really predict immune rejection before we synthesize the transgene?

Yes , with Predi‑Methyl™.
We trained computational models on epigenetic immune recognition data (TLR pathways, antigen presentation, dendritic cell methylation states). From your therapeutic gene sequence alone, we generate an Epigenetic Immunogenicity Score (EIS) predicting the risk of immune recognition before any wet lab work. This allows you to iterate in silico, not in vivo.

« Fail fast in simulation, not in animals. »

How do you simulate heritable stability across cell divisions?

Through Methyl‑Maintain™.
We model how your synthetic methylation motif interacts with the cell’s natural maintenance machinery (DNMT1, UHRF1, etc.). Our simulation predicts motif fidelity over 10, 50, or 100 cell divisions — identifying weak spots where the passport would drift or be lost. You receive a stability half‑life prediction for your specific cell type.

« A passport that fades after 20 divisions is not durable therapy. We show you the curve. »

Does the choice of delivery vector (AAV, LNP, lentivirus, VLP) affect the epigenetic passport?

Absolutely — and most developers ignore this.
Each vector triggers different cellular stress responses and epigenetic remodeling. Vector‑Epi‑Match™ models these interactions per vector and per target cell type. We tell you:

  • Which passport motif works best with AAV9 in hepatocytes

  • Why a lentiviral vector may erase your methylation pattern in dividing cells

  • How LNP formulations influence de novo methylation

« Your vector and your passport must be married, not divorced. »

Do I need to provide experimental data, or can I start from just a sequence?

You can start from just a sequence.
All our 2026 services are designed for sequence‑first entry:

  • Predi‑Methyl™ : sequence → immune risk score

  • Inverse Epigenetic Design™ : sequence + target cell type → optimal synthetic motif

  • Methyl‑Maintain™ : motif + cell type → stability simulation

  • Vector‑Epi‑Match™ : motif + vector + cell type → compatibility report

How long does a typical project take?
  • Predi‑Methyl™ (immune risk scoring) → 3–5 business days

  • Inverse Epigenetic Design™ (motif generation) → 2–3 weeks

  • Methyl‑Maintain™ (stability simulation) → 1–2 weeks

  • Vector‑Epi‑Match™ (compatibility modeling) → 1–2 weeks

  • Full suite (all four services) → 4–6 weeks

« Fast enough for iterative design. Thorough enough for IND‑enabling data packages. »

Can you work with any gene therapy modality (CRISPR, CAR‑T, AAV, mRNA‑LNP)?
  • Yes. Our platform is modality‑agnostic because we work at the epigenetic level, not the delivery level.
    We have validated compatibility with:

    • AAV vectors (all serotypes)

    • Lentiviral and retroviral vectors

    • LNP‑mRNA and LNP‑DNA

    • VLP‑based delivery

    • Non‑viral and electroporation approaches

    « Your delivery method. Our epigenetic passport. One compatibility layer. »

What do I actually receive as deliverables?
    • Predi‑Methyl™ → Immune risk score report + risk heatmap per genomic region

    • Inverse Epigenetic Design™ → 3–5 optimal synthetic methylation motifs (FASTA + methylation bed file)

    • Methyl‑Maintain™ → Stability simulation curves + half‑life prediction + drift map

    • Vector‑Epi‑Match™ → Compatibility matrix + recommended motif‑vector pairs

    • Full suite → All of the above + integrated epigenetic passport recommendation + white‑level summary for investors/regulators

    All deliverables include raw datavisualizations, and a plain‑language interpretation.

    « You don’t need a computational epigenetics PhD to use our outputs. We translate. »