Modelling of Bioprocess for Streptokinase Production Using Mechanistic and Neural Network Approaches

Streptokinase is a vital fibrinolytic drug produced by くhemolytic streptococci often used to treat myocardial infarction and pulmonary embolism. While growing recombinant strain of E.coli to produce streptokinase in a bioreactor, we are dealing with a controlled environment experiencing the role several indispensable factors that are associated to structured and unstructured aspects of the system. Since a cell itself can be assumed to be an entire structured system that shows the accountability of various parameters. On the other hand, unstructured factors are found influencing the active existence of cell in the fermentation media environment. A model has been established on the basis of both structured and unstructured constraints that has key role in dealing with the plasmid stability. Our effort is to configure a composite model which represents the over all dynamics in a well defined algorithm that depicts the behaviour of the microbial population in the entire bioreactor operational environment. The simulation of the process has clearly shown the role of each and every parameter viz. metabolite concentration, dilution rate etc, to swot up competitive dynamics and segregational instability.