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. »
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:

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

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

through accessible, practical, and design‑driven training programs.
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.
Our platform focuses on the programmable control of DNA methylation, a fundamental epigenetic mechanism that regulates gene recognition and expression.

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

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

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

Cellular systems interpret the gene as part of the native genome environment.
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Prediction of epigenetic immunogenicity prior to synthesis

Stability simulation that can be inherited across 50 divisions

Vector/epigenetic pattern compatibility

Detection of post-treatment epigenetic drift
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.




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

Improve immune compatibility for therapeutic transgenes.

Computational epigenetics as a service

Enhance stability and persistence of engineered cell lines.

Support durable expression of introduced genetic programs.

Reduce immune barriers to multiple treatment cycles.
We believe the next frontier of medicine lies in harmonizing therapeutic genes with the body’s identity systems.
By addressing epigenetic compatibility, we open new pathways for durable and scalable genomic medicine.



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. »
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. »
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. »
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. »
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
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. »
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. »
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 data, visualizations, and a plain‑language interpretation.
« You don’t need a computational epigenetics PhD to use our outputs. We translate. »