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NON-VIRAL · NON-LIPID gene delivery HIGHLY TUNABLE formulation space RAPID ITERATION nanoparticle designs can be turned around quickly for test → learn cycles STABLE · DIFFICULT CELLS built for demanding biological settings
Biological data · AI-guided nanoparticle design · non-viral gene delivery

Biological data for AI
AI-ready datasets for AI agents to learn from, improve and iterate — quickly and at low cost.

7 years proprietary data Wet lab or yours Prediction → experiment → learn

We combine seven years of proprietary experimental data, curated scientific evidence, Optilox Alpha and Vectranox™ to build the controlled biological datasets that AI and drug-development models need next. Vectranox is our highly tunable, non-viral, non-lipid delivery platform — giving us a practical experimental engine for rapid design → formulation → test → learn cycles, without rebuilding the delivery system until your model says it needs to.

Experimental evidence

Start with what Vectranox has already done

Vectranox has produced reporter expression in differentiated airway models, primary cells and mouse lung following local airway administration. That experimental foundation is what makes the data-generation proposition credible.

Luciferase expression in mouse lung, 48 hours after a single local dose

Vectranox particles carrying luciferase pDNA were administered by oropharyngeal instillation. Excised lungs were imaged 48 hours later. The vehicle control and particle-without-luciferase control were dark; four earlier-generation peptide formulations produced signal across the lung tissue.

Vehicle control Particle without luciferase Four peptide formulations
Bioluminescence imaging of excised mouse lungs showing luciferase expression after Vectranox delivery
What this experiment shows Reporter expression was detected in mouse lung after local airway dosing. It does not establish systemic biodistribution or predict performance by other administration routes.
Up to 1 week
Reporter signal in airway models
Expression persisted across extended readouts after a single application in differentiated airway cultures.
Independent
Replication across laboratories
Work has been reproduced at UQ, MCRI, UNSW and independent laboratories in the United States.
77 nm · 0.19 PDI
After six months at room temperature
Particles remained physically consistent after ambient shipment and extended room-temperature storage.
The proposition

We build the data your model needs next

Tell us the biological question or dataset you need. We use our accumulated experimental evidence to define the test, Optilox Alpha to design the Vectranox nanoparticle, and the tunable platform to test, learn and iterate. The platform has been developed across demanding delivery settings including differentiated airway models, mucus-facing systems, physiological media and in vivo delivery.

AI collaboration model with the partner's AI at the centre, supported by Loxegen ODS data, Optilox intelligence and Vectranox physical technology to build homogeneous biological datasets
01

Your biological question

Tell us the target, payload, biological environment or outcome you need to understand — from primary and differentiated models to mucus-facing systems, organoids and in vivo studies.

02

Optilox Alpha designs the nanoparticle

Alpha combines Loxegen's structured experimental history with curated scientific evidence to prioritise the Vectranox formulation to test next.

03

A structured dataset comes back

The result is experimental evidence designed around the question: positive and negative outcomes, physicochemical context and biological readouts that can inform your model and the next experiment.

Use our wet lab — or yours

Two ways to work with us

Your wet lab
We supply the particles

We design and supply Vectranox nanoparticles for your application, ready for you to test in your own experimental system.

Best for: teams with established assays that want a different delivery architecture or a better-controlled delivery variable.
Our experimental network
We run the assays

We design the experimental programme, arrange the appropriate assays and deliver the resulting structured dataset for your biological or computational model.

Best for: AI, computational biology and drug-development teams that need biological evidence rather than another software layer.

Current delivery evidence: pDNA and mRNA. Peptide/protein delivery is a prospective capability to be validated experimentally.

Award
Most Promising Gene Therapy Pipeline, APAC
CGT Excellence Awards 2026, Singapore
Peer reviewed
Nanomedicine, 2026
Taylor & Francis, open access
Protected
Patent issued (AU)
AU 2019320847 · priority 2018
Independently validated
UQ · MCRI · UNSW
and independent US laboratories
Logistics
Stable at RT for 3 months
Shipped at ambient temperature, store at 4 °C
Optilox Alpha · AI-guided nanoparticle design

From trial-and-error transfection to data-guided formulation

Optilox Alpha is Loxegen's predictive nanoparticle-design model. It combines our proprietary structured experimental history with curated scientific evidence to help select which Vectranox formulation should be tested next — and why.

Optilox Alpha AI predictive model and experimental learning system for transfection formulation
AI-guided formulation: explores peptide × PEG × cargo × cell-context combinations rather than relying on a single universal reagent.
Built on seven years of evidence: proprietary structured results, images, formulation chemistry, physicochemical measurements, biological outcomes and experimental know-how support quantitative learning.
Prediction → experiment → learn: predictions are tested prospectively, results return to the data set, and the model is refined as evidence grows.
Designed for difficult models: the goal is better formulation selection for primary cells, differentiated cultures and other systems where conventional transfection can be unreliable.

Alpha is in prospective validation. Recommendations are research-use formulation hypotheses to be tested experimentally, not guaranteed outcomes.

The problem

Primary cell and difficult-to-transfect cell transfection is still the bottleneck

As translational research moves into more physiologically relevant models, the delivery step becomes the limiting factor. When an experiment fails, it is often impossible to tell whether the construct was wrong or the delivery method simply never got it into the cell.

01

Standard reagents underperform

Lipid reagents are optimised for easy, dividing cell lines. In primary cells, differentiated epithelium and 3D culture, efficiency drops sharply and toxicity rises.

02

Viral vectors carry overhead

Titre production, biosafety approvals, integration risk and cost — significant burdens when the question is simply whether a construct works.

03

The model gets blamed

Poor delivery is misread as a failed construct or an unusable model, and promising programmes are abandoned for the wrong reason.

Technology

A unique peptide architecture. PEG-guided cellular entry.

Vectranox combines a unique branched peptide nanoparticle architecture with zinc-coordinated PEG. The peptide condenses nucleic-acid cargo into compact particles, while PEG architecture is an active design variable in how the particle behaves in biological environments and enters cells.

Vectranox branched peptide assembling with nucleic acid into a nanoparticle
01 — ASSEMBLE

A unique branched peptide condenses the cargo

Vectranox's branched peptide architecture self-assembles with nucleic-acid cargo to form a compact nanoparticle.

PEG architecture as an active Vectranox nanoparticle design variable
02 — PEG-GUIDED ENTRY

PEG is part of the entry mechanism

Uptake studies indicate a non-canonical, PEG-guided cellular entry pathway. PEG architecture is therefore a functional design variable, not simply a passive coating.

Vectranox nanoparticle cellular delivery
03 — DELIVER

Designed around the biological context

Peptide and PEG architecture can be tuned for the payload, cell type and biological environment, creating a practical formulation space for iterative testing.

The idea in one line

The peptide builds the particle. PEG helps determine how it enters the cell. Both are tunable.

Vectranox has been developed through multiple generations of structure–activity relationship optimisation. Its modular peptide and PEG architecture creates a formulation space that can be iterated as new biological questions, payloads and environments are tested.

✓
Non-integrating, episomal expression No insertional mutagenesis risk. Expression dilutes predictably across cell divisions.
✓
Stable at RT for 3 months Shipped at ambient temperature. Store at 4 °C upon receipt to extend shelf life. Supplied pre-formulated and ready to dose.
✓
Non-viral, non-lipid No viral production, no biosafety escalation, no lipid-associated toxicity.
✓
Tunable formulation Peptide and PEG architecture selected per application.
Vectranox™ products

Pre-formulated nanoparticle transfection reagents, ready to dose

Supplied as pre-formed particles — not a self-assembly kit. No formulation step, no handling variability, no cold chain. Add to your cells and read out.

2070X
pDNA

Lead peptide for plasmid DNA. Validated in primary airway epithelium at air–liquid interface and in vivo.

2904X
pDNA · mRNA

Alternative peptide architecture with a distinct performance profile across cell types. Works with mRNA as well as plasmid DNA.

How you can buy it

Two ways to work with us

Buy stock Vectranox particles for evaluation, or send us your construct and we will formulate it into Vectranox for you.

Most popular
Pre-formulated particles

Ready-to-dose particles containing a reporter construct. Nothing to formulate, nothing to optimise. Open the vial, dose the cells, read the result.

For: anyone evaluating the platform, or running a straightforward experiment.
Custom
We formulate your construct

Send us your plasmid or RNA. We formulate it into Vectranox particles, QC them, and send them back ready to dose. The charge-to-mass ratio of nucleic acid is constant, so your construct drops straight into our process.

For: labs testing their own payload — a therapeutic gene or specific nucleic-acid construct.
Pricing

Priced by the experiment, not by the millilitre

You are not buying a volume of reagent to combine with your own DNA. You are buying pre-formulated particles, ready to dose.

Evaluation pack
Free
Evaluation quantity
Coverage varies by model, format and dose
  • Pre-formulated GFP particles
  • Ready to dose — no formulation
  • Protocol and dosing guidance included
  • Posted at ambient temperature
  • No purchase order required
Request a free pack
Research pack
$200 USD
Volume on request
Coverage varies by model, format and dose
  • Sized for a single experiment
  • Your choice of peptide and cargo
  • Stable at RT for up to 3 months (shipping at ambient temp)
  • Shipping charged at cost
Order
Laboratory pack
$600 USD
500 µL · ≈ 200 µg pDNA-equivalent
Coverage varies by model, format and dose
  • ≈ 50 ALI insert doses at the example 4 µg dose
  • For a lab running a programme
  • Bulk and custom cargo on request
  • Shipping charged at cost
Order

Usage varies by model and protocol. Dose figures are worked from the example 4 µg pDNA-equivalent dose per ALI insert; your own dose and plate format will change the number of doses per pack — we will work it out with you.
For comparison: in these models, the standard lipid reagent produced no detectable expression at any price.

Evaluation programme

Challenge it with your hardest model

Vectranox is validated in primary cells and differentiated airway epithelium. We now want to push it into systems we have not yet tested — MSCs, iPSC-derived immune cells, organoids, organ-on-chip. If transfection is a genuine problem in your model, we will supply pre-formulated GFP particles free of charge. You run the assay. We both learn something — including if it does not work.

Evidence

Evidence from difficult biological models

Vectranox has been tested in differentiated airway epithelium at air–liquid interface, iPSC-derived cultures, primary cells and in vivo airway delivery. These studies provide positive and negative results across expression, persistence, cell health, barrier integrity and particle behaviour.

No detectable
expression
Lipid-reagent comparator in tested ALI models
In the tested iPSC-derived and differentiated air–liquid interface models, the comparator produced no detectable expression while Vectranox produced reporter signal.
Up to 1 week
Reporter signal persisted
Extended readouts in differentiated airway models showed signal beyond the usual short transfection window after a single application.
77 nm · 0.19 PDI
After 6 months at room temperature
Particles were posted from Australia to Chicago in an envelope, left on a bench for over six months, and measured unchanged. No cold chain. No dry ice.
Reporter expression in differentiated airway epithelial cultures (ALI) Reporter expression in differentiated airway epithelial cultures (ALI)
Reporter expression in differentiated airway epithelial cultures (ALI). View full image →

Transfection where the standard reagent produced nothing

GFP expression in fully differentiated air–liquid interface airway models transfected with Vectranox. In the same tested models, the lipid-reagent comparator produced no detectable expression.

Imaged at 100 µg/mL.

Independent replication: University of Queensland · Murdoch Children's Research Institute · UNSW Sydney

Which cells are transfected — and the barrier stays intact

Confocal imaging of fully differentiated airway epithelium after transfection with Vectranox. GFP expression is resolved within the intact tissue architecture: club cells (SCGB) express the cargo, ciliated cells (FOXJ1) are identified alongside them, and tight junctions (ZO-1) remain continuous — the barrier is not disrupted by delivery.

ZO-1 — tight junctions FOXJ1 — ciliated cells GFP — expression DAPI — nuclei
Confocal: ZO-1, FOXJ1, GFP and DAPI in differentiated airway epithelium

Particles cross the mucus layer and reach the cells

Live imaging of Vectranox particles applied to fully differentiated iPSC air–liquid interface epithelium, tracked over fifteen hours.

00:45 HR
Particles dispersed through mucus layer at 45 minutes
Particles dispersed freely throughout the mucus layer
09:35 HR
Particles consolidating at cell surfaces at 9.5 hours
Consolidating — accumulating at the cell surface
14:30 HR
Field clearing at 14.5 hours consistent with cellular uptake
Field clearing, consistent with cellular uptake
Key finding Particles traverse the mucus layer, progressively accumulate at the epithelial surface, and clear from the field over time — consistent with uptake into the cells beneath.

Reproducible, batch to batch — made by hand

Particle size and polydispersity across independently prepared batches. Manufacturing consistency without automated formulation equipment.

Batch-to-batch particle size and PDI repeatability
Toxicity

Delivery that doesn't damage the model

A differentiated ALI culture takes weeks to grow and is the most valuable thing on the bench. A reagent that transfects it but wrecks it has solved nothing.

Minimal
Cell death at 72 hours
In iPSC-derived ALI cultures, cell death after transfection with Vectranox is minimal over 72 hours. Your model survives the experiment.
Intact
Tight junctions preserved
TEER — the standard measure of barrier integrity — is minimally affected, and ZO-1 staining shows the junctions remain continuous. Lipofectamine disrupts them more.
0.05%
The only additive — HSA
A single stabilising excipient at 0.05 % w/v, added at point of use. Nothing else. No lipid, no viral vector, no transfection enhancer, no biosafety escalation.
Stable in the media you actually use Particles remain stable in cell culture medium, HBSS and saline, and across extended periods and temperatures — including after nebulisation. They do not aggregate the moment they meet your experiment.
Repeat dosing

Dose again. It gets better.

Because Vectranox is non-viral and non-integrating, there is no anti-vector immunity and no integration burden to accumulate. You can dose the same culture — or the same animal — again.

01

Expression is dose-dependent

More cargo delivered means more expression. Published images are frequently generated at conservative doses — what you see is rarely the ceiling.

02

Repeat dosing improves it substantially

Repeat-dose studies, run independently at UNSW in primary airway cells, show markedly improved transfection over a single dose.

03

A controlled experimental variable

Dose number and timing can be varied deliberately and measured alongside expression and cell health, giving models a clearer picture of what changed.

What this means for your experiment If a single dose gives you signal but not enough of it, the answer is usually another dose — not a different platform. Talk to us about a dosing schedule for your model.
Published & independently reproduced
Peer-reviewed publication
Inhalable gene and RNA therapy for cystic fibrosis: perspectives and progress in clinical development
Munir M, Butcher NJ, Werder RB, Ranganathan SC, Burow R, Venables A, Kaminskas LM. Nanomedicine 2026;21(7):1003–1025. Open access.

Results have been reproduced across academic, clinical and commercial laboratories, in multiple biological systems and experimental workflows:

University of Queensland Murdoch Children's Research Institute UNSW Sydney Swinburne University of Technology Independent laboratories, California
Industry award
Most Promising Gene Therapy Pipeline in APAC
Asia-Pacific Cell & Gene Therapy Excellence Awards 2026 — presented 30 June 2026, Sands Expo & Convention Centre, Singapore, in conjunction with Cell & Gene Therapy World Asia.

Development of the inhaled platform is supported by Australia's Medical Research Future Fund (MRFF), in partnership with the University of Queensland and the Murdoch Children's Research Institute.

Patent: AU 2019320847, Nanoparticles for transfection — accepted 16 April 2026; grant pending expiry of the opposition period. Priority date 14 August 2018. Inventors: A. Venables, D. E. Levy.

About us

Leadership & Scientific Team

Andrew Venables

Andrew Venables, B.Ec LLB

Founder & Director
  • 25+ years in law, finance and economics, including 10 years as Partner of a leading corporate law firm
  • Listing CFO in oil and gas
  • Named inventor on the Vectranox patent
Daniel E. Levy

Daniel E. Levy, PhD

Co-founder
  • CEO of DEL BioPharma LLC
  • Director of Synthetic Chemistry at Intradigm — nanoparticle delivery vehicles for siRNA therapeutics
  • Previously Glycomed, COR Therapeutics and Scios
  • Named inventor on the Vectranox patent; author of the peptide chemistry
Lisa Kaminskas

Lisa Kaminskas, PhD

Director, Drug Delivery & Formulation Science
  • Associate Professor in Drug Delivery at the University of Queensland
  • Specialist in pulmonary and inhalable therapies and nanoparticle formulation
  • Expertise across in vitro and in vivo lung delivery models and bioanalysis
  • Her research programme has independently validated the Vectranox platform
David Haylock

David Haylock, PhD

Director, Cell Therapeutics & Strategic Partnerships
  • More than 40 years in cell biology, stem cell therapeutics and scientific leadership
  • Former senior scientific roles at CSIRO, Peter MacCallum and the Australian Stem Cell Centre
  • Pioneered autologous transplantation using mobilised blood progenitor cells
  • Adjunct Professor at Monash University's Australian Regenerative Medicine Institute
Resources

Run Vectranox in your model

Vectranox is supplied pre-formulated and ready to dose, with starting protocols for submerged and ALI cultures that can be optimised for the model.

🧪

Pre-formulated particle protocol

Directions for use of ready-to-dose particles, including storage, dosing, controls and readout.

View protocol →
📚

Published evidence

Read the peer-reviewed work behind the Vectranox platform and its development.

View publication →
Get in touch

Request evaluation particles

Tell us about your model and what you are trying to deliver. We will come back to you directly — typically within two working days.

We'll respond to your enquiry within two working days.