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To identify potential transcriptional regulation on the annotated lncRNAs, experimentally supported TFs binding information based on chromatin immunoprecipitation-sequencing (ChIP-Seq) were retrieved from ChIPBase (47), with a focus on promoter interactions.
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Domain interactions have also been inferred from protein structure data using information based on geometric association of domain interaction interfaces [17], conserved binding mode analysis from the docking patterns of interacting domains [18], or co-evolutionary analysis [19].
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In DENdb, we integrate two types of TF binding information: (i) TF binding regions based on ChIP-seq data and (ii) predicted TF binding motifs using HOCOMOCO TFBS models.
The model can then be applied to an unknown target molecule in an effort to obtain information on the composition and architecture of binding aptamers only based on information about the desired target.
Furthermore, more recent studies find that α5β1 integrin switches fibronectin binding states based on mechanical information [18], [66], [67].
At this point, the model can significantly contribute to dry and wet lab investigations, since it is applicable to other, even structurally unknown target proteins, and can aid in gaining knowledge on the composition and architecture of binding aptamers only based on information about the desired target.
Presumably the optimal binding site, based on the flexible information theory approach, is the most stable site and the easiest to crystalize.
The last step is to classify these DERs into three distinct binding patterns based on annotated genes information.
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CEO of Professional Science Editing for Scientists @ prosciediting.com