Identification of the Human DPR Promoter Element by using Machine Learning
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ABSTRACT:
PROVIDER: PRJNA583471 | ENA |
REPOSITORIES: ENA
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Project description:The RNA polymerase II core promoter is the site of convergence of the signals that lead to the initiation of transcription. Here, we perform a comparative analysis of the downstream core promoter region (DPR) in Drosophila and humans by using machine learning. These studies revealed a distinct human-specific version of the DPR and led to the use of the machine learning models for the identification of synthetic extreme DPR motifs with specificity for human transcription factors relative to Drosophila factors, and vice versa. More generally, machine learning models could be analogously used to design synthetic promoter elements with customized functional properties.
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