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Our findings suggest that nonconsensus protein-DNA binding is fine-tuned around functional binding sites using a variety of design strategies.
Here, we review properties of these GPCR binding sites, using a unique combination of calculated physicochemical properties and water energetics (GRID, WaterMap and SZMAP) to provide a new perspective and rational assessment of druggability for each GPCR target binding site.
In this study, we compare current procedures and present digestion optimized (DO -RIP-seq, a simple methoDO -RIP-seqtes anDO -RIP-seqs RBP binding sites using a continuousimpleic.
We developed a method for clustering potential binding sites using a curated dataset of structures for six therapeutically relevant proteins from diverse protein classes in the protein data bank.
After potential core sites were identified, neighboring sequences both upstream and downstream of these potential sites were searched for the presence of a potential half binding sites using a second weighted matrix.
Shulman-Peleg et al. have developed I2I-SiteEngine and MAPPIS, programs that compare and align the functional groups at a pair or set of interacting binding sites using a geometric hashing algorithm [17] [19].
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We generated a high confidence list of putative binding sites using an approach previously utilized in identifying motifs in mammals [15].
In order to assess whether binding to regulatory DNA sequences may be involved in the transcriptional effect of EBNA-1, putative promoter regions located −3000 to +500 bp relative to the transcription start of regulated genes were searched for the presence of putative EBNA-1 binding sites using an HMM profile generated from known EBNA-1 binding sequences.
The two profiles of Pho boxes constructed above were used to scan the genome sequences for all possible SphR binding sites using an algorithm that we developed previously [ 13], which is briefly described as follows with some modifications.
Then we identified those consensus sequences belonging to common classes of TF binding sites using an "in house" program to process the results obtained by the similarity search approach [ 32].
However, it is possible that such experiments do not give the exhaustive list of sequences of binding sites, so one needs to expand the list of putative binding sites using an appropriate criterion, which brings about the problem of the generalization of several known examples.
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