Molecular Precision develops research at the intersection of biological design, nanomedicine, technical standards and regulatory science.
Our work examines how complex biological systems can be represented more explicitly, designed more systematically and connected more effectively to the evidence that supports them.
The research programme combines conceptual frameworks, computational representations and practical implementations.
Biological engineering increasingly produces systems whose complexity exceeds the documents traditionally used to describe them.
A protocol can describe what was done. A specification can describe what must be measured. A diagram can describe components and relationships. A publication can explain scientific reasoning. But none necessarily provides a complete representation of the design itself.
Molecular Precision investigates how these elements can be connected within structured biological representations. Our research is organised around four related themes.
This work examines approaches for describing components, functions, interactions, requirements, constraints and design intent within structured representations.
A particular focus is the use of machine-readable standards to move biological design beyond diagrams and prose towards representations that can be computationally interrogated, exchanged and validated.
Nanomedicine operates simultaneously across clinical, biological, delivery, material and manufacturing domains. Our research examines the relationships between these levels and how design decisions at one level create requirements at another.
The Molecular Precision Nanomedicine Design Stack provides the architectural foundation for this work.
Explore the Nanomedicine Design Stack →Scientific and engineering decisions are supported by assumptions, experimental observations, literature and accumulated evidence. Yet these relationships are frequently lost as development progresses.
We investigate methods for connecting requirements, design decisions, specifications and evidence so that the reasoning behind a biological system remains traceable throughout its development.
Standards such as the Synthetic Biology Open Language (SBOL3) provide a foundation for machine-readable biological design.
Our research explores their application to increasingly complex biological systems and examines where existing representations may need to be extended, combined or supplemented.
The Molecular Precision Nanomedicine Design Stack is a layered architecture for representing the relationship between therapeutic intent and the physical implementation of a nanomedicine. It separates the design into five connected levels.
The central research question is not simply how to describe each layer independently, but how to preserve traceability between them.
A material characteristic should be capable of being connected to the delivery requirement that produced it. That requirement should connect to the relevant biological behaviour. The biological requirement should ultimately connect to therapeutic intent.
In the opposite direction, therapeutic intent should progressively resolve into measurable characteristics and specifications. The result is a structured architecture capable of answering:
Why is this nanomedicine designed this way?
Read the Framework →The conceptual framework is accompanied by an open computational implementation. Molecular Precision is developing an SBOL3 representation of the Nanomedicine Design Stack to explore how nanomedicine architectures can be represented as structured, machine-readable biological designs.
The implementation provides a practical environment for investigating:
The repository provides a concrete implementation against which the broader Molecular Precision framework can be developed and tested.
As an initial reference system, Molecular Precision has applied the framework to a four-component SM-102 mRNA lipid nanoparticle model derived from publicly documented scientific information.
The purpose of the reference implementation is not to reproduce a proprietary manufacturing process. It provides a sufficiently realistic nanomedicine system through which questions of representation, architecture and traceability can be explored.
Within a conventional description, components such as SM-102, DSPC, cholesterol and DMG-PEG2000 may appear primarily as names and proportions within a formulation. Within a structured design representation, those components can instead become explicit design objects with identities, functions, properties and relationships to other elements of the system.
This allows the research to move beyond one question towards another:
What components are present?
Why are they present, what requirements do they satisfy, and how are those relationships represented computationally?
Molecular Precision publishes formal research outputs alongside its open technical work. Publications may include:
Where appropriate, publications will include persistent identifiers, formal citation information and downloadable versions.
Formal publications will appear here as they are released.
Where appropriate, Molecular Precision aims to make the technical foundations of its research available alongside conventional publications.
A framework described in prose can be evaluated conceptually. A structured implementation can also be inspected, queried, tested and extended. For work involving biological representation and computational design, both are important.
Our approach therefore aims to connect:
This allows research claims about biological design to be examined not only through written argument but through the structures used to implement them.
Current and developing research questions include:
Can the reasoning behind a biological design be represented explicitly rather than remaining within narrative documentation?
Can experimental evidence be associated directly with the requirements and design decisions it supports or challenges?
What representations are required to describe relationships between therapeutic intent, biological behaviour, delivery systems, materials and manufacturing?
How far can existing biological design standards represent complex therapeutic systems, and where are additional models or relationships required?
Can ambiguity in conventional scientific methods be reduced by representing experimental and design parameters as explicit objects and relationships?
Can structured biological designs support automated validation, comparison, reasoning and eventually computational assistance throughout the engineering process?
These questions define the developing Molecular Precision research programme.
Molecular Precision welcomes discussion with researchers, research groups, standards communities and biotechnology organisations working on related problems. We are particularly interested in collaboration involving: