Sentence examples for predictions software from inspiring English sources

PAL is a cytoplasmic enzyme and is not targeted to the chloroplast (we tried to assess the probability of plastid targeting of PAL using the predictions software Predotar V1.03 [ 35], obtaining no significant results (data non shown).

Several 2d-structure predictions software agree with a central β-strand rich portion anked by α-helices making highly probable that the central part of the protein belongs to the all- β SCOP Class.

Furthermore, PAL is a cytoplasmic enzyme and is not targeted to the chloroplast (we tried to assess the probability of plastid targeting of PAL using the predictions software Predotar V1.03, obtaining a not significant result).

The data enriched by using external sources and predictions software are the following: 143 therapeutic indications from DrugBank, 50 pathways, 8701 gene and 566 miRNA trascription factor regulations, 37 435 MirTarBase predictions, 91 062 miRanda predictions, 146 125 TargetScan predictions, 59 218 DT-Hybrid predictions and 2276 DrugBank targeting relations.

Next, we used target prediction software to predict the miRNA targets.

The target genes of the candidate miRNAs were predicted by TargetScan prediction software (http://www.targetscan.org/).org/

The TAT signal prediction software TATP 1.0 predicts the same signal peptide length for the predicted TAT substrate RL0518.

The First-Exon and Promoter Prediction software [25] predicts two promoters for this gene.

Genes were predicted using the gene prediction software Glimmer v.3.02 on all but the A. salmonicida pseudomolecule.

For predicting microRNA promoter interaction MicroPIR prediction software was used.

The remaining unannotated sRNAs were used to predict novel miRNAs using the prediction software Mireap [ 57].