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Identification of PTM-modified peptides remains a challenging task in discovery proteomics despite significant progress made in the development of peptide tandem mass spectrometry during the last decade and emerging new software products with new concepts for prediction and detection of PTMs.
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Both the existing field of mechanism-based pharmacokinetic pharmacodynamic (PKPD) modeling and the emerging field of Systems Pharmacology offer important tools and concepts for the prediction of drug efficacy and safety in humans.
The exploitation of logical concepts for the prediction of probable behaviors of unmeasurable data and identification of uncertainties in datasets becomes much more complicated and important if the pathway systems are large.
A simulation concept for the prediction of forces in a robot-guided roller burnishing process based on a series of detailed ABAQUS simulations is presented.
Xu et al. (2014) provided a proof of concept for hybrid prediction using an immortalized F2 population in rice and found that selection of top 100 hybrids would lead to a 16% increase in yield, which indicated the potential of using GS to improve yield in rice.
Vertically perforated clay blocks with an excellent ratio of load-bearing capacity to thermal properties are highly sophisticated products, which due to their higher complexity require advanced design concepts for a reliable prediction of performance characteristics.
In this contribution, we have therefore investigated the potential of two different concepts for obtaining better prediction of the through-the-thickness distribution of the transverse stresses; a crucial issue since the accuracy for a single-layer approach in this respect is normally low.
To be able to implement the modeling concept for streamflow predictions, the rainfall losses, most likely associated with interception losses not covered under the potential evapotranspiration calculation, would have to be more thoroughly analyzed through rainfall interception measurements.
The focus is on classification problems, but the same concept can be used for prediction problems as well.
The idea of utilizing historic records for prediction is not a new concept.
The concept of using receiver operator characteristic (ROC) curves for prediction of exam performance was used previously in a similar study performed by our anaesthesia colleagues [ 4].
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