ArticlemSystems2024
Machine learning-based classification reveals distinct clusters of non-coding genomic allelic variations associated with Erm-mediated antibiotic resistance.
Article in mSystems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- The Complexity of erm-Mediated Resistance: Structural and Functional Perspectives From β-Hemolytic Streptococci.Molecular microbiology · 2026Review
- Article
- Development and application of a triplex ddPCR method for simultaneous detection of MLSB resistance genes in feces and environmental samples.Frontiers in microbiology · 2026Article
- Highly Conserved Genetic Factors RegulatingJournal of microbiology and biotechnology · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The erythromycin resistance RNA methyltransferase ( IMPORTANCE: Antibiotic resistance (AR) poses a global health threat as the efficacy of available antibiotics has rapidly eroded due to the widespread transmission of AR genes. Using Erm-dependent MLS resistance as a model, this study highlights the significance of non-coding genomic allelic variations. Through a comprehensive analysis of upstream regulatory elements within the
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.