A computational prediction identified a large set of Arabidopsis genes as potential targets for TMV-Cg siRNAs, revealing a novel layer of RNA silencing-based virus-host interactions in plants.
Signal P prediction identified a putative cleavage site between residues 15 and 16.
Further filtering through identification of likely coding sequence based on ORF prediction identified a total of 18,919 transcripts across 10,775 unigenes, with an N50 transcript size of 3,546 bp and transcript sum of 53.00 Mb.
Functional domain prediction identified a single BMP and activin membrane-bound inhibitor homolog in BAMBI, a discoidin, CUB, and LCCL domain in DCBLD2, 2 immunoglobulin folds in endothelial cell selective adhesion molecule (ESAM), and 15 leucine-rich repeats in LRRC32.
The single matrix prediction identified a tight cluster of five single NKX3.1 matrix model matches (V$NKX31.01) between positions -2298 and -2168 relative to the transcription initiation site that showed partial overlap with NBS1.
For topic trend prediction, we propose a combined random under-sampling of topics framework to build an ensemble of forecasters for time series forecasting in topic prediction (identify a future trend of the pattern).
Monoallelic rare variants with in silico pathogenic predictions identified in the patients without a definitive diagnosis.
Using bioinformatic predictions, we identified a set of 117 predicted H-2 IAb binding peptides in 7 proteins targeted by B cell responses.
In addition, these predictions identified protein domains within the exocyst subunits, resulting in creation and characterization of a soluble, folded domain of Sec10p.
On the basis of further sequence predictions, we identified a segment (residues 218 266) in the apoE CT domain that bears a high propensity to form a coiled-coil helix, which coincides with the putative lipoprotein-binding surface.
