IPro-MP: a BERT-based model to predict multiple prokaryotic promoters.

ABSTRACT:

Background

Promoters, as essential cis-regulatory elements in prokaryotes, govern gene expression by mediating RNA polymerase binding through core motifs and long-range regulatory interactions, playing a pivotal role in cell metabolism and environmental adaptation. Hence, accurate identification of prokaryotic promoters is vital for understanding their biological functions. However, the existing tools for predicting prokaryotic promoters are mainly concentrated on individual model organisms, and their prediction accuracy needs to be further improved. To address these gaps, we develop iPro-MP, a transformer-based prokaryotic promoter prediction framework that we systematically evaluate across 23 phylogenetically diverse species, including both model and non-model organisms.

Resul

SUBMITTER: Su W 

PROVIDER: S-EPMC12516880 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature