Background: Design of experiments is a rapid and cost-effective approach for optimization of recombinant protein production process. In our previous study, we generated a potent dual-acting fusion protein, anti-CD22 scFv-apoptin, to target B-cell malignant cell lines. In the present investigation, we report the effect of different variables on the expression levels of this fusion protein. Metho...

Background: Ovine follicle stimulation hormone (OFSH) is a pituitary glycoprotein and belongs to the family of glycoprotein hormones. This hormone plays a key role in the function of the reproductive system: it is essential for sertoli cell function and spermatogenesis in testis and it stimulates the growth of ovulatory follicles in females. Ovine FSH hormone is a heterodimeric hormone consisti...

background and objectives: auto-induction is usually employed to achieve high cell density and overproduction of proteins with a simple and low-cost operation. the efficiency of heterologous protein expression in escherichia coli is determined by different parameters. interactions between these parameters usually complicate the identification of those that contribute more to the improvement of ...

Background: Bovine follicle-stimulating hormone (bFSH) is a heterodimer hormone that consists of a common -subunit which noncovalently associated with the hormone-specific -subunit. During the past 15 years, the methylotrophic yeast Pichia pastoris has become an important host organism for recombinant protein production because it is able to use methanol as a sole carbon and energy source. Th...

This paper proposes a plant/controller design integration method for H∞ loop-shaping design based on symbolic-numeric hybrid optimization. This approach firstly employs parametric polynomial spectral factorization to accomplish parametric optimization and derive an expression for the optimal cost. Owing to the obtained expression, sensitivity analysis of the achievable performance level with re...

Increasing the final titer of a multi-gene metabolic pathway can be viewed as a multivariate optimization problem. While numerous multivariate optimization algorithms exist, few are specifically designed to accommodate the constraints posed by genetic engineering workflows. We present a strategy for optimizing expression levels across an arbitrary number of genes that requires few design-build-...