The amino-acids-plus-properties models provided slightly more true-positive predictions (predicted cleavage sites that were confirmed by empirical data) but slightly more false-positive predictions (predicted cleavages sites that have not yet been reported) than the amino-acids-only models.
"I never make predictions, but I predict that decision will be reversed," Mr. Hasson said of the appeals court ruling.
While the GCM predictions differ, none predict that climate is not changing; furthermore, the magnitude of change is substantial.
While it is not possible to precisely identify the false positive predictions (predicted amino acid sequences that are not real proteins) from these data, it is clear that the rate of false positive predictions must be substantial for each prediction method.
First, we do not know whether thermodynamic mRNA structure predictions predict the mRNA structures that are formed in the cell.
Our predictions are an order of magnitude lower than previous predictions; we predict that even after 25 years of high antiviral usage only 5 out of 10,000 immunocompetent individuals will be shedding drug-resistant virus.
Two bioinformatics programs were used for substrate prediction, and both predicted that the third module encoded for proline [ 58, 59].
PredOtar [ 46] and TargetP [ 47] subcellular targeting prediction programs both predicted that the putative PPR-1 and PPR-2 proteins are transported to mitochondria (data not shown).
Although RNA structure prediction algorithms correctly predicted that all RNAs are disrupted by certain mutations, it is clear that predicting exactly which mutation will alter structure remains very challenging.
Jpred 3 (Cole et al., 2008) was used for secondary structure prediction and it predicted that the following residues would terminate αE in phiBT1, phiC31 and TG1 integrase, respectively: Leu-174, Leu-163 and Leu-163.
