AI powered vector systems for improved bioproduction

Project partners: Centre for Process Innovation & Genenet Technology (UK)

Project focus area: Health

The project focused on evaluating Genenet Technology’s AI‑designed genetic vectors to improve transient protein production in mammalian systems. CPI conducted a series of transient transfection studies across multiple CHO cell lines to measure protein expression, cellular growth, metabolic profiles, and overall process performance. These experiments enabled rapid screening of how Genenet’s AI‑powered vectors influence monoclonal antibody production, helping to validate the technology’s potential to enhance efficiency, yield, and output quality in CHO‑based processes.

The collaboration successfully delivered comparative performance data between AI‑designed vectors and protein expression levels, alongside the impact on metabolites and cell growth characteristics. This provides essential evidence supporting further optimisation of Genenet’s intelligent vector platform.

The project demonstrates the feasibility and value of exploring AI‑driven design with bioprocessing workflows and strengthens the UK’s position in engineering biology innovation. The outcomes will support Genenet’s commercialisation and future development of more adaptable, high‑performance vector systems for the bioproduction sector.

For more information

For more information on this project, contact us, or view all Engineering Biology SPARK Award winners.

This project funding is part of the Engineering Biology Innovation Network, led by Innovate UK Business Connect in collaboration with Innovate UK and UKRI’s Technology Mission Fund. The network’s goal is to progress innovations, create a commercially focused community and foster new consortia to advance innovations towards commercial applications.