Animal dependence
Immunisation-led discovery adds cost, ethical burden and limited control over the starting repertoire.
Technology
An animal-free nanobody discovery platform, in development
Computational design, synthetic library approaches and wet-lab validation in one loop.
The problem
Why nanobody discovery needs a new approach
Traditional nanobody discovery can be animal-dependent, slow to iterate and difficult to adapt. Smaller research teams can also struggle to access flexible specialist experimental support.
Slow iteration
Long design-build-test cycles make it expensive to explore alternative binders once a campaign is underway.
Limited flexible support
Smaller teams often cannot access specialist wet-lab capacity that adapts to the scientific question.
Our approach
Computational design meets experimental validation
One connected loop, so a result at the bench feeds straight back into the next round of design.
Computational design
Sequence and structure models propose candidates with promising binding and developability characteristics.
Synthetic library generation
Animal-free libraries built to give diverse, target-focused starting points.
Experimental screening
Scalable screening identifies and ranks binders against the target of interest.
Wet-lab validation
Expression, stability and specificity assessed early, before downstream commitment.
Platform in development
Technology
Developing an animal-free nanobody discovery platform
We are developing an animal-free nanobody discovery platform that combines computational design, synthetic library approaches and wet-lab validation.
Design without immunisation
Synthetic repertoires remove the animal step from the front of the campaign and give direct control over the starting diversity.
Prioritise before you pipette
Computational ranking narrows the candidate set so experimental capacity is spent on sequences worth testing.
Developability considered early
Expression, stability and specificity are assessed as selection criteria rather than as late-stage surprises.
Built to be iterated
Each experimental round is designed to inform the next, shortening the distance between a result and a better candidate.
Have a difficult research problem?
Whether you want to explore the NanoForge platform or need bespoke experimental support, talk to our scientific team.