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Modeling predictions allow the reconstruction of the dynamic sequence of events leading to an aligned CNT network, which strongly depends on the CNT's aspect ratio and concentration.
Detailed scattering studies and comparison with theoretical predictions allow the quantification of disorder within the sample.
These experiments can then be performed in the laboratory and, when compared to the model predictions, allow the invalidation of some of the candidate models, even when the experimental data set is noisy.
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The project collected a million measurable predictions, allowing the teams to be assessed and their methods improved.
For T. cruzi druggability predictions allowed the identification of 173 loci with a druggability index > 0.6.
The interpretation of the regression coefficients used for the predictions allowed the detection of compounds that contribute to the release of sugars and compounds that do not contribute or even inhibit hydrolysis.
The models were validated by analysis of variance, significance, and prediction, allowing the estimation of process variables.
The desired piecewise constant pitch angle profile which is calculated using turbine load prediction, allows the reduction of pitch actuation that in turn, increases the lifetime of actuator.
In silico prediction allowed the identification of unknown porcine as well as of five miRNAs transcribed by the Large Latency Transcript (LLT) of PRV.
Because our protein complex prediction allowed the same proteins to be subunits of different complexes, such shared proteins could be classified into different categories in different complexes.
Structure and function prediction allowed the definition of P-DUDES, a phylogenetically widespread, possibly ancient protein structural domain, common to vertebrates and many bacterial species.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com