Our proprietary technology stack combines plant genetic engineering, molecular biology, and digital computation to produce pharmaceutical-grade vaccine antigens at a fraction of conventional costs.
Plants as biofactories — a paradigm-shifting approach to pharmaceutical protein production.
Nicotiana benthamiana — the primary expression host. High transformation efficiency, rapid growth, and extensive validation in molecular farming literature.
Agrobacterium-mediated infiltration enables rapid, high-yield protein production within 5–7 days of transformation — ideal for outbreak response scenarios.
Greenhouse-scale production eliminates the need for sterile bioreactor facilities, dramatically lowering capital requirements for local manufacturing.
5–7 days from infiltration to harvest
Computational redesign of target gene sequences for optimal expression in plant translational machinery, maximizing protein yield.
Subcellular targeting signals direct proteins to the endoplasmic reticulum, optimizing post-translational folding and glycosylation patterns.
pTRBO-based and similar binary vector systems engineered with strong constitutive and inducible promoters for controlled antigen expression.
T-DNA integration into plant chromosomes for heritable, stable expression lines — critical for long-term manufacturing scalability.
P19 and other post-transcriptional gene silencing suppressors co-expressed to maximize and sustain recombinant protein accumulation.
Roadmap includes CRISPR-Cas9-mediated precision edits to enhance host plant immunogenicity suppression and expression capacity.
The HBsAg (Hepatitis B surface antigen) serves as our lead model — a globally relevant vaccine target with established clinical validation and complex protein architecture ideal for demonstrating platform capability.
Hepatitis B infects over 300 million people globally. The surface antigen is a proven vaccine immunogen with decades of clinical data. Its VLP (virus-like particle) structure makes it ideal for plant-based expression.
Target: >100 µg/g fresh weight leaf biomass. Current benchmark systems achieve 50–200 µg/g. Our optimization pathway targets the upper range using enhanced promoter-silencing suppressor combinations.
We integrate computational intelligence into every stage of our research pipeline — from in-silico antigen design to AI-assisted protein structure prediction.
AlphaFold2 and RoseTTAFold integration for de novo protein structure prediction, enabling rapid evaluation of antigen candidates before laboratory synthesis.
Custom computational workflows for codon optimization, regulatory element analysis, and expression cassette design using tools including EMBOSS, SnapGene, and CLC Genomics.
Machine learning models trained on expression data to predict yield-maximizing conditions — temperature, infiltration density, harvest timing, and extraction parameters.
From laboratory benchtop to continental-scale manufacturing — our platform is designed to scale through modular, distributed, and low-infrastructure production models.
Unlike centralized bioreactor facilities requiring $500M+ capital investment, our plant-based model supports distributed greenhouse networks requiring as little as $500K per site.
This enables manufacturing to be established close to demand centers — reducing distribution costs, cold-chain requirements, and supply chain risk simultaneously.
From molecular blueprint to global distribution — the 12-step lifecycle of a GreenHelix project.
Selection of high-impact vaccine antigens based on global epidemiological data and clinical relevance.
In silico structure prediction and codon optimization using AI-driven bioinformatics pipelines.
Construction of high-expression binary vectors designed for rapid leaf mobility and protein accumulation.
Transformation of gene constructs into Agrobacterium tumefaciens ready for host plant entry.
Large-scale immersion of host plants in antigen-carrying bacterial suspention using vacuum pressure.
Controlled growth phase (5-7 days) where the plant biofactories synthesize the recombinant proteins.
Automated harvesting of biomass at peak protein accumulation levels for immediate processing.
Disruption of plant cell walls and initial recovery of the soluble vaccine antigen proteins.
Multi-stage chromatography to achieve pharmaceutical-grade purity of the final antigen product.
Rigorous analytical testing including ELISA and Western Blot to confirm antigenicity and yield.
Stabilization of antigens into final vaccine delivery systems for optimal shelf-life and efficacy.
Secure, monitored storage and logistics for deployment to healthcare centers and remote clinics.