ArticleJournal of microbiology and biotechnology2026
Comparative Combinatorial Effects of Endolysins LNT103 with Ten Conventional Antibiotics against Gram-Negative Bacterial Pathogens.
Article in Journal of microbiology and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Synergistic strategies to rescue the last-resort antibiotic colistin.Archives of microbiology · 2026Review
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bacteriophage-derived endolysins have emerged as promising antibacterial agents; however, their combinatorial interactions with conventional antibiotics remain insufficiently characterized across Gram-negative bacterial species. Here, we systematically evaluated synergistic, additive, or indifferent interactions between the Gram-negative-targeting endolysin LNT103 and ten clinically relevant antibiotics across 15
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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.