Learning to predict expression efficacy of vectors in recombinant protein production
Abstract Background Recombinant protein production is a useful biotechnology to produce a large quantity of Booster Seats highly soluble proteins.Currently, the most widely used production system is to fuse a target protein into different vectors in Escherichia coli (E.coli).However, the production efficacy of different vectors varies for different