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This consolidation process was modelled by computational analysis of a representative unit cell.
In fact, morphological growth characteristics are investigated by computational analysis of only a limited number of pre-selected microscopic images or via manual evaluation of images, which causes biased results and does not allow any automation or high-throughput quantification.
Since genomic integrity is the key to prolonged stability of recombinant CHO cell lines, we characterized piRNA sequences and expression in six CHO cell lines by computational analysis of an existing small RNA sequencing dataset using proTRAC and the published CHO genome as reference.
We have addressed this unexplained stringency by computational analysis of the recently published 3D structure of LspA with its competitive inhibitor as well as transition state analogue, globomycin using PyMoL viewing tool and VADAR (Volume, Area, Dihedral Angle Reporter) web server.
These observations were supported by computational analysis of the S100A8/A9 calcium-dependent aggregation propensity profiles.
Domains were predicted by computational analysis of this protein sequence using the SMART bioinformatics tool package (Fig. 3) [55].
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By computational analysis, out of 22 peptides of p24 protein, 4 peptides are anticancer and 18 are non-anticancer.
Proteasome catalytic subunit β1 was predicted by computational analysis to be a possible direct target of celastrol and confirmed by checking direct effect of celastrol on the activity of recombinant human proteasome subunit β1 in vitro.
Several manufacturing options have been investigated and were evaluated by computational analysis and fabrication of pre-prototypes.
Since metabolic fluxes are estimated by a computational analysis of the isotopic labeling data produced by a series of wet experiments [ 4– 7], the development of an open software platform for C-MFA is desired for further methodology improvement and wider applications for in vivo metabolic flux measurement.
In this study we tried to approach the cell death pathway in pancreatic cancer by a computational analysis of experimental data from high-throughput technologies and by evaluation of public databases.
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