Sentence examples for motifs to predict from inspiring English sources

One predictive tool, 'MAR finder' uses combinations of the following structural motifs to predict S/MARs; origins of replication, TG-rich sequences (commonly in 3′ UTRs), curved DNA, kinked DNA, topoisomerase II sites, and AT-rich sequences (Singh et al. 1997).

However, here we use the commonality of host and pathogen motifs to predict the existence of a PRR for CpG in RNA.

Additionally, these pharma-motifs provide the clues for discovering new sequence-based motifs to predict protein functions from protein sequence databases.

Using the motifs to predict CRMs across the entire intergenic regions of C. elegans and an assessment of the accuracy of those predictions.

Because of these recent findings, it appears that using variations in the primary sequences of the catalytic motifs to predict whether a kinase domain has catalytic activity is not always valid.

We assembled a confident set of transcription factor motifs using recent protein binding microarray and ChIP-chip data and used our collection of motifs to predict a comprehensive set of TFBSs across the S. cerevisiae genome.

Once the RBP has a defined motif, we can use the motif to predict binding sites in a determined species.

Another common approach is to apply a descriptor of sequence and structural motif to predict ncRNA homologs.

However, autoimmune-associated T cell responses in Lewis rats are MHC class II RT1.BL restricted, we used the defined extended RT1.BL-peptide-binding motif to predict possible T cell epitopes on AQP-4 [ 39].

Moreover, users can download adjusted motifs, non-redundant motifs, known motifs similar to predicted motifs, TFBSs of each motif, the enrichment of TFBSs of a motif in certain types of genomic regions, motif modules, motif modules supported by known TF-TF interactions, etc. See the download page in PreDREM for the full list of items that can be downloaded.

In particular, it fails completely on the motif-only feature set, indicating that there might not be a small subset of motifs allowing to predict activity.