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Future studies analyzing mRNA and protein correlation will be required to determine the potential bias of various experimental methodologies as well as how mRNA expression differences are related to protein expression.
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Whereas the biomechanical techniques for characterizing bone strength are well documented, few studies have focused on the theory, methodology, and various experimental procedures for evaluating the fracture toughness of bone, i.e., its resistance to fracture, with particular reference to whole bone testing in small animal studies.
Coupled with the continuous development of new experimental methodologies for manipulating various aspects of its cellular machinery, it has served as the primary model organism for molecular and systems biology [ 1].
Using this methodology and exploiting various experimental data and annotations, we are able to uncover different interactive and cooperative relationships between processes.
This association was observed in various experimental settings including yeast two-hybrid methodology, biochemical studies, and deletion analyses [ 81].
Various experimental validation is necessary to construct the nanomechanical methodology as a theoretical model to describe intrinsic properties to nanogranular materials.
We applied structure-based drug design, combined with experimental methodologies to investigate the ability of various compounds to enhance hPreP proteolytic activity.
As suggested by the title, the emphasis was on innovative methodologies aimed at taking better advantage of various experimental data types (such as measurements of flux and intra-cellular metabolite concentrations, tracing of isotopomers, mutant growth phenotypes and gene expression datasets).
The effects of various experimental parameters in the extraction step were also studied using response surface methodology.
Various experimental data of different metallic materials are used to validate the proposed methodology and reasonable agreement is observed between model predictions and experimental data.
So the methodology is not based on one special case but on various experimental R&D projects which have delivered successful results in challenging conditions.
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