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Based on the determined specific activity and thermal stability, we chose the most suitable mutation at the single N-glycosylation sites.
This method discovers the sets of genes that have the greatest effect in the dataset by selecting the most suitable mutation and crossover operators.
After determining the most suitable mutation at the single N-glycosylation sites, we physiologically characterized the respective P. pastoris strains in the controlled environment of a bioreactor.
After determination of the most suitable mutation at each N-glycosylation site, we physiologically characterized the respective P. pastoris strains in the bioreactor and purified the produced HRP C1A glyco-variants.
Based on activity and stability measurements, the most suitable mutation at a respective N-glycosylation site was chosen and the corresponding P. pastoris strain was physiologically characterized in the bioreactor.
Except for N13S all the produced HRP glyco-variants showed catalytic activity; however, replacement of Asn by Gln never turned out to be the most suitable mutation at any of the eight N-glycosylation sites.
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Based thereon, we combined the most suitable mutations to potentially obtain an unglycosylated, active HRP variant suitable for medical applications.
The GA parametric setting results for the model showed that the most suitable value for the GA mutation rate was 0.15, while the crossover rate value was 0.30.
Uncertainties exist as to which women are most suitable for tamoxifen chemoprevention (BRCA1/ BRCA2 mutation carriers, weaker family histories, women with hormonal risk factors) and about the potential interaction with HRT.
In most cases studied, suitable mutations occur in the population prior to plating.
The results obtained for the most suitable parametric settings for the DE algorithm showed that the value for mutation rate was 0.15, while a crossover rate value of 0.20 was obtained.
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