AIMC Topic: Regulon

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Unveiling the landscape of prokaryotic global regulators through deep protein language models.

mSystems Nov 24, 2025
Global regulators (GRs) are key transcription factors that orchestrate the expression of multiple genes, playing essential roles in stress responses, virulence, secondary metabolism, and antibiotic resistance-traits that make them powerful tools for ...
Bacterial Proteins Gene Expression Regulation, Bacterial Transcription Factors Regulon Archaeal Proteins Genome, Bacterial Archaea Bacteria Deep Learning
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ProPr54 web server: predicting σ promoters and regulon with a hybrid convolutional and recurrent deep neural network.

NAR genomics and bioinformatics Jan 7, 2025
σ 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 σ is indispensable for orchestrating the transcription of genes ...
RNA Polymerase Sigma 54 Genome, Bacterial Regulon Neural Networks, Computer Sigma Factor Bacterial Proteins Software Internet Promoter Regions, Genetic Binding Sites
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Application of the random forest algorithm to Streptococcus pyogenes response regulator allele variation: from machine learning to evolutionary models.

Scientific reports Jun 16, 2021
Group A Streptococcus (GAS) is a globally significant bacterial pathogen. The GAS genotyping gold standard characterises the nucleotide variation of emm, which encodes a surface-exposed protein that is recombinogenic and under immune-based selection ...
Genetic Variation Humans Alleles Regulon Machine Learning Antigens, Bacterial Streptococcal Infections Bacterial Proteins Genes, Bacterial Carrier Proteins Genome, Bacterial Evolution, Molecular Algorithms Streptococcus pyogenes Bacterial Outer Membrane Proteins
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Model-to-crop conserved NUE Regulons enhance machine learning predictions of nitrogen use efficiency.

The Plant cell May 9, 2025
Systems biology aims to uncover gene regulatory networks (GRNs) for agricultural traits, but validating them in crops is challenging. We addressed this challenge by learning and validating model-to-crop transcription factor (TF) regulons governing ni...
Machine Learning Gene Regulatory Networks Nitrogen Crops, Agricultural Zea mays Transcription Factors Regulon Gene Expression Regulation, Plant Arabidopsis Plant Proteins
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First steps in automatic summarization of transcription factor properties for RegulonDB: classification of sentences about structural domains and regulated processes.

Database : the journal of biological databases and curation Jan 1, 2017
RegulonDB, http://regulondb.ccg.unam.mx.
Transcription Factors Support Vector Machine Protein Domains Serine Endopeptidases Escherichia coli K12 Regulon Databases, Bibliographic
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