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Dataset Information

ProPr54 web server: predicting σ<sup>54</sup> promoters and regulon with a hybrid convolutional and recurrent deep neural network.


ABSTRACT: σ54 serves as an unconventional sigma factor with a distinct mechanism of transcription initiation, which depends on the involvement of a transcription activator. This unique sigma factor σ54 is indispensable for orchestrating the transcription of genes crucial to nitrogen regulation, flagella biosynthesis, motility, chemotaxis and various other essential cellular processes. Currently, no comprehensive tools are available to determine σ54 promoters and regulon in bacterial genomes. Here, we report a σ54 promoter prediction method ProPr54, based on a convolutional neural network trained on a set of 446 validated σ54 binding sites derived from 33 bacterial species. Model performance was tested and compared with respect to bacterial inter

SUBMITTER: Achterberg T 

PROVIDER: S-EPMC11704786 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature