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Escherichia coli K12

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[Effect of Inherent Immunity Factors of Development of Antibiotic Tolerance and Survival of Bacterial Populations under Antibiotic Attack].

Mikrobiologiia
Effect of human inherent immunity factors of, a gene-encoded antibacterial peptide indolicidin (Ind) and a cytokine interleukin 1 (IL1) on formation of antibiotic-tolerant persister cells surviving in the presence of ciprofloxacin (Cpf, 100 μg/mL) an...

An integrative machine learning strategy for improved prediction of essential genes in Escherichia coli metabolism using flux-coupled features.

Molecular bioSystems
Prediction of essential genes helps to identify a minimal set of genes that are absolutely required for the appropriate functioning and survival of a cell. The available machine learning techniques for essential gene prediction have inherent problems...

MCO: towards an ontology and unified vocabulary for a framework-based annotation of microbial growth conditions.

Bioinformatics (Oxford, England)
MOTIVATION: A major component in increasing our understanding of the biology of an organism is the mapping of its genotypic potential into its phenotypic expression profiles. This mapping is executed by the machinery of gene regulation, which is esse...

pcPromoter-CNN: A CNN-Based Prediction and Classification of Promoters.

Genes
A promoter is a small region within the DNA structure that has an important role in initiating transcription of a specific gene in the genome. Different types of promoters are recognized by their different functions. Due to the importance of promoter...

Machine Learning of Bacterial Transcriptomes Reveals Responses Underlying Differential Antibiotic Susceptibility.

mSphere
antibiotic susceptibility testing often fails to accurately predict drug efficacies, in part due to differences in the molecular composition between standardized bacteriologic media and physiological environments within the body. Here, we investiga...

A successful hybrid deep learning model aiming at promoter identification.

BMC bioinformatics
BACKGROUND: The zone adjacent to a transcription start site (TSS), namely, the promoter, is primarily involved in the process of DNA transcription initiation and regulation. As a result, proper promoter identification is critical for further understa...

Functional annotation of enzyme-encoding genes using deep learning with transformer layers.

Nature communications
Functional annotation of open reading frames in microbial genomes remains substantially incomplete. Enzymes constitute the most prevalent functional gene class in microbial genomes and can be described by their specific catalytic functions using the ...