The current study is the first to detect 1 bp cytosine insertion in codon number 30 (c.87_88insC) as frameshift mutation resulting in early stop codon at number 32, and by using bioinformatics prediction tools, it likely to be pathogenic mutation to give nonfunctional short sclerostin protein.
Despite the minor discrepancies between the expression results of our four different MaxiPromoter constructs and the corresponding expression from the endogenous mouse gene, it is noteworthy that by using bioinformatics predictions, we were successful in each case to delineate the genomic DNA boundaries that were sufficient for expression in the specifically chosen adult brain regions.
We found 29 candidate sORFs using bioinformatic prediction, array hybridization and RT-PCR verification.
The role of bpa-miR-5364 in the infection event was investigated by identifying potential mRNA targets using bioinformatic predictions, comparative genomics, and transcriptomic analysis, with selected targets verified using a mammalian cell transfection system.
Using bioinformatic predictions, we identified a set of 117 predicted H-2 IAb binding peptides in 7 proteins targeted by B cell responses.
To investigate the target involved in the EMT regulation triggered by miR-124, we searched putative target genes using bioinformatics prediction software Targetscan (version 6.0, November 2011, Whitehead Institute for Biomedical Research) and 1654 conserved targets were predicted.
By using bioinformatic algorithms for the prediction of peptides with binding motives to surface molecules encoded by A*01 and B*08 genes, we found several sequences in all three main gliadin families that bound to either HLA A1 or B8 molecules with high affinity.
In the present study, we test this assignment by using bioinformatics methods that are highly sensitive in identifying remote homologs and confront the prediction with available biological knowledge.
Based on GENCODE annotation, miRcode provides a map of possible miRNA targets on long noncoding RNAs by using multiple bioinformatics prediction software [ 38].
Protein prediction and modeling were performed using bioinformatic tools.
