They concluded that early evaluation with [18F]FLT PET is better than late evaluation (6 weeks after treatment with erlotinib) for response prediction and prediction of progression-free survival.
As part of future studies, we intend to explore the generality of CSMs in other aspects of protein function, such as subcellular localization prediction and prediction of GO terms, as well as under different structural classification databases, such as CATH [ 30].
Results obtained of C-Hydroxylation predictions and prediction of xenobiotics interaction with the main isoforms of cytochrome P450 look reasonable to use them for solution of practical tasks of toxicology and pharmacology.
The demand for protein sequence- and secondary structure-independent methods for mapping binding pockets has risen recently for the purposes of binding site classification, functional relationships predictions, and prediction of pharmacological intersections [29, 30].
TMBpro is based on secondary structure predictions and prediction of residue contacts in potential transmembrane β-barrels.
Previous neurophysiological studies suggest that the dopaminergic neurons could code the prediction and prediction errors of rewards, and that the prediction and prediction errors of rewards could reinforce the approaching behaviors to rewards (Schultz et al. 1997; Schultz 1998).
The average posterior probabilities in the "prediction period" are outputted as final predictions, and predictions of this method is denoted as "IMRF2".
A number of functional neuroimaging studies have demonstrated that the VTA/SN and NA codes the prediction and prediction errors of monetary rewards (Knutson, Adams, et al. 2001; Knutson, Fong, et al. 2001; Dreher et al. 2006; D'Ardenne et al. 2008; Staudinger et al. 2009; Valentin and O'Doherty 2009; Sescousse et al. 2010), which are consistent with our findings.
However, predictive coding also argues that the reconciliation of prediction and prediction error signals is an iterative process that occurs on a finer timescale than is measurable with fMRI, so this interpretation remains speculative.
Accuracies of prediction and prediction errors for methods that estimate effects of all markers were essentially the same, although for ASI and PPT, SVR had the lowest MSEP, and the highest accuracy of prediction of 0.72 and 0.58, respectively.
The next measurement point is selected by using predictions and prediction uncertainty of geometric deviations provided by non-parametric statistical models, known as kriging models.
