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This review will discuss several themes in comparative genomics as a discovery method, including highly derived data, use of patterns of design to reason by analogy, and in silico testing of computationally generated hypotheses.
The accurate modeling of biological processes allows us to predict the spatiotemporal behavior of living tissues by computer-aided (in silico) testing, a useful tool for the development of medical strategies, avoiding the expenses and potential ethical implications of in vivo experimentation.
The dual aim of this study was to examine the potential for a novel lipid based formulation, termed a lipidic dispersion, to enhance fasted state oral bioavailability of fenofibrate, while also assessing the predictive ability of biorelevant in vitro and in silico testing.
In silico testing of sequence hybridization indicated the presence of mismatches that could result in our finding of negative PCR amplification.
These models can serve many purposes, such as understanding disease mechanisms, disease detection, disease prediction, and in silico testing of "what-if" scenarios and even clinical trials.
Table S5 shows results of in silico testing for N1 neuraminidase in sequences deposited from March 2009 March 2010 (set 2).
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The discriminatory efficiency of all SMIRs was demonstrated with different "in silico" tests, using available databases, showing that all SMIRs have enough informative resolution for species identification, even for closely related species from the same genus.
The hypotheses formulated during in-silico testing suggest new avenues to explore experimentally.
In silico tests of the primers revealed at least 38% higher coverage for Archaea compared to other commonly used primers.
Based on our in silico test of 218 snow and permafrost algae and the rarefaction curves (Supplementary Fig. 6), we are fairly confident that the choice of our primer pair has resulted in a good coverage of the algal diversity.
The detailed kinetic model of Prostaglandin H Synthase-1 (COX-1) was developed to in silico test and predict inhibition effects of nonsteroidal anti-inflammatory drugs (NSAIDs) on target.
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