1997
DOI: 10.1006/jmbi.1997.1140
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A novel method to develop highly specific models for regulatory units detects a new LTR in GenBank which contains a functional promoter

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Cited by 97 publications
(59 citation statements)
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“…The identification of specific frameworks of transcription factor binding sites linked to gene coregulation remains challenging, as the characteristics of such frameworks cannot be defined by sequence homology. It is now widely accepted that position weight matrices defining the specific order, spacing, distance, and orientation for transcription factors allow the best in silico characterization of promoter motifs (11,18). Systematic promoter module analysis of the proximal promoter regions of upregulated known NF-B-dependant genes identified a NF-B module (NFKB_IRFF_01) associated with progression of DN.…”
Section: Discussionmentioning
confidence: 99%
“…The identification of specific frameworks of transcription factor binding sites linked to gene coregulation remains challenging, as the characteristics of such frameworks cannot be defined by sequence homology. It is now widely accepted that position weight matrices defining the specific order, spacing, distance, and orientation for transcription factors allow the best in silico characterization of promoter motifs (11,18). Systematic promoter module analysis of the proximal promoter regions of upregulated known NF-B-dependant genes identified a NF-B module (NFKB_IRFF_01) associated with progression of DN.…”
Section: Discussionmentioning
confidence: 99%
“…A threshold of 100% genes containing the module, a distance of 5 -200 bp and an intersite variability of 15 bp or less were permitted between TFBSs. The software ModelInspector (Genomatix) was used with the default settings to identify the previously characterized TF binding modules in additional promoter regions of the Genomatix Human Promoter Database (Version Eldorado 12-2012) (Frech et al 1997). …”
Section: Comparative Promoter Analysismentioning
confidence: 99%
“…Sites were computationally predicted with predefined transcription factor binding modules 45,46 in the Promoter Module Library (Genomatix).…”
Section: In Silico Promoter Analysismentioning
confidence: 99%