Sentence examples for binding motifs from a from inspiring English sources

Motif discovery focuses on searching for novel binding motifs from a collection of short sequences that are assumed to contain a common regulatory motif.

Here, we describe a novel application of ant algorithms to evaluate the role of each of individual binding motifs from a population of random DNA sequences.

We have enhanced the web-based CentriMo algorithm to allow it to perform the constrained differential motif enrichment analysis described in this paper, and CentriMo's on-line interface (http://meme.ebi.edu.au) provides dozens of databases of DNA- and RNA-binding motifs from a full range of organisms.

However, as the clamp is composed of two β monomers, there are only two binding pockets per clamp, not enough to bind the two potential binding motifs from Pol III and a third motif from the exonuclease.

Therefore, we manually collected experimentally proven PPRE binding motifs from literature and arrived at a collection of 250 motifs.

Using a profile of Zur binding motifs from these bacterial groups, we searched the 26 genomes containing multiple copies of the S4 gene (from Actinobacteria, Clostridia and Beta/Deltaproteobacteria) for candidate Zur binding sites (see Methods).

Using yeast 2-hybrid, we have tested for potential interaction between full-length dGIPC, including its central PDZ domain, and a wide array of C-terminal PDZ binding motifs from Drosophila transmembrane proteins (usually cloning the last 60 aa).

More recently, a new computational algorithm, Hybrid Motif Sampler (HMS) was specifically designed for identifying de novo binding motifs from ChIP-seq-derived transcription factor binding data [46], which provides a powerful tool in understanding the sequence features of transcription factors from genome-wide binding data.

To confirm successful treatment of cells with DP, DFX, and HIF1 α siRNA leading to a modulation of the transcriptional activity of the HIF1 protein complex, a reporter plasmid containing six consecutive HRE binding motifs from the human phosphoglycerate kinase promoter was used (6xHRE; kindly provided by Christina Warnecke) [ 28].

Here we present SMARTIV, a novel computational tool for discovering combined sequence and structure binding motifs from in vivo RNA binding data relying on the sequences of the target sites, the ranking of their binding scores and their predicted secondary structure.

The flexibility might be necessary for the DH domain to accommodate binding motifs from different interaction partners.