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The identifying of binding sites for transcription factors is a key component of gene regulatory network analysis.
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In its original description, FBLD consists of identifying pairs of binding fragments that can occupy adjacent sites and then be linked chemically into more potent bidentate compounds.
As such, it has been widely studied in recent years, with several ChIP-Seq experiments identifying thousands of binding sites across the genome.
In our method, we describe two parallel assays: one that identifies loss-of-binding azF mutants and another that identifies photo-cross-linked residues.
Table 6 lists the 10 predicted drug target associations that we have identified evidence of binding interaction in other databases.
We thus used ChIP-Seq to identify sites of binding of H4K5Ac throughout the rat genome.
Data were analyzed to identify peaks of binding using Nimblescan software (Roche NimbleGen) with default settings.
For clarity only the best poses for the two identified clusters of binding modes are shown.
Here we used PAR-CLIP to identify thousands of binding sites of RBM10 and observed significant RBM10 RNA interactions in the vicinity of splice sites.
We also identified instances of binding site turnover at individual gene loci, which could potentially represent compensatory gains and losses maintaining target gene expression levels during evolution.
lncRNAs usually function through interactions with proteins, which implies the importance of identifying the binding proteins of lncRNAs in understanding the molecular mechanisms underlying the functions of lncRNAs.
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