engleski

Use of genetic algorithm for optimization of fed-batch process of recombinant protein biosynthesis in bacteria Escherichia coli BL21+P

In this study genetic algorithm was used to optimize fed-batch process of recombinant protein biosynthesis. Genetic algorithm is commonly used to reduce number of experiments and to find an optimal result which in this case was highest yield of recombinant protein. To investigate glucose feeding rates on biosynthesis of recombinant protein in bacteria Escherichia coli BL21+P experiments were performed in 1, 25 L bioreactors using bacteria E. coli transformed with expression vector coding for recombinant human protein. Batch and fed-batch experiments were performed with the same final amount of glucose added (15 g L-1). Results for fed-batch process were better in term of yield of recombinant protein, thus in this study optimization of fed-batch process was made. Using Luedeking-Piret model parameters for biosynthesis of recombinant protein were obtained and with genetic algorithm new model for fed-batch process was developed. New optimized model of fed-batch process obtained by genetic algorithm showed increase of yield of recombinant protein by 10 % compared to best fed-batch experiment.

Genetic algorithm; fed-batch; optimization

nije evidentirano