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​From siRNA Design to Preclinical Development:                        An Integrated RNAi Platform                      
Engineering RNAi with Precision and Integration
Our platform spans siRNA design, optimization, delivery, and preclinical research, creating a fully integrated RNAi discovery framework
By connecting all stages of development from concept to preclinical evaluation we provide a cohesive, data-driven approach that accelerates research workflows and enables reproducible results. Integration and innovation are at the core of everything we do



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v RNA interference pathway The term RNA interference (RNAi) was coined to describe a cellular mechanism that uses the gene's own DNA sequence to turn it off, a process that researchers call silencing. In a wide variety of organisms, including animals, plants, and fungi, RNAi is triggered by double-stranded RNA (dsRNA). During RNAi, long dsRNA is cut or "diced" into small fragments ~21 nucleotides long by an enzyme called "Dicer". These small fragments, referred to as small interfering RNAs (siRNA), bind to proteins from a special family: the Argonaute proteins. After binding to an Argonaute protein, one strand of the dsRNA is removed, leaving the remaining strand available to bind to messenger RNA target sequences according to the rules of base pairing: A binds U, G binds C, and vice versa. Once bound, the Argonaute protein can either cleave the messenger RNA, destroying it, or recruit accessory factors to regulate the target sequence in other ways.



Data-Driven Engineering of siRNA Molecules
At MDRNA, we use a scientifically rigorous, data-driven approach to design and optimize siRNA molecules for preclinical research applications. Our platform combines advanced computational modeling with experimental validation to create sequences that are highly specific, stable, and efficient in complex biological systems.
Key aspects of our siRNA design process include:
  • Target Identification: Pinpointing gene sequences that are relevant for research objectives.
  • Sequence Characterization: Evaluating each siRNA for predicted performance, off-target interactions, and structural stability.
  • Proprietary Architecture Optimization: Developing unique siRNA constructs that improve effectiveness and reliability in research models.
  • Iterative Refinement: Using continuous feedback from experimental results to enhance design accuracy and reproducibility.
Every siRNA we design is engineered to provide a robust foundation for downstream preclinical research, ensuring that molecular targets are accurately and efficiently evaluated.


Delivery Platform Integration
Advanced Delivery Systems Engineered Alongside siRNA
At MDRNA, delivery is integrated into siRNA design to ensure reliable performance and reproducibility in preclinical research.
  • Lipid-Based Nanocarriers: Protect siRNA, enhance cellular uptake, and control intracellular release.
  • Peptide-Based Systems: Facilitate efficient transport and endosomal escape for precise intracellular targeting.
By co-optimizing siRNA constructs with delivery vehicles, our platform maintains structural integrity, biodistribution, and experimental consistency, enabling researchers to focus on target evaluation and mechanistic studies.

 

Supporting Rigorous Evaluation and Characterization
Our integrated platform enables comprehensive in vitro and in vivo research workflows to assess the performance of siRNA constructs in preclinical models. We systematically evaluate gene silencing efficiency, pharmacokinetics, pharmacodynamics, and cellular responses, providing reproducible and high-quality data that informs early-stage research decisions.
The platform is designed to support scientific validation at every step, ensuring that experiments are consistent, reliable, and interpretable. By combining advanced siRNA design and optimized delivery systems with robust preclinical evaluation, MDRNA provides a cohesive framework for RNAi research, allowing researchers to focus on mechanistic studies and target characterization with confidence.


 

Integrated Discovery Engine
End-to-End RNAi Research Platform
Our discovery engine connects every stage of development through a continuous, iterative workflow:
  • In silico design and target identification
  • In vitro validation and optimization
  • In vivo evaluation and preclinical studies
This integrated framework reduces fragmentation, supports rapid iteration, and enhances reproducibility across all RNAi research projects.


Multidisciplinary Expertise
Science-Driven Collaboration Across Disciplines
Our work is powered by experts in:
  • Molecular and cellular biology
  • RNA, peptide, and chemical engineering
  • Pharmacology and bioinformatics
  • Analytical and quality systems
Integration is driven by people, processes, and technology, creating a culture of innovation and rigorous scientific engineering.

Our integrated RNAi platform connects siRNA design, delivery engineering, and preclinical research into a unified discovery framework that enables efficient, reproducible, and scalable RNAi development.