AI powered vector systems for improved bioproduction

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

Project focus area: Health

Most biotherapeutics, such as monoclonal antibodies (mAbs), are large, complex biomolecules which are traditionally manufactured using cell culture processes in bioreactors. These production processes which can be difficult to control and can result in loss of product quality and poor yields. Genenet Technology, in collaboration with CPI, is advancing a novel approach to improve bioproduction through the development of AI-powered vector systems in mammalian cell lines. This proprietary platform combines synthetic biology with deep learning to design genetic circuits that function like biological neural networks, capable of dynamically responding to cellular conditions to enhance expression efficiency and stability.

This project is a continuation of an Innovate UK funded collaboration and focuses on further validating the technology across multiple Chinese Hamster Ovary (CHO) cell lines, which are widely used in the biomanufacturing of therapeutic proteins. This will provide key data demonstrating the broad application potential of Genenet’s solution in transient protein production.

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.