ArticleCells2024
Förster Resonance Energy Transfer Measurements in Living Bacteria for Interaction Studies of BamA with BamD and Inhibitor Identification.
Article in Cells, 2024. 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
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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.
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.
- Integration of Membrane Proteins into the Outer Membrane of Diderm Bacteria by the BAM Complex.Chemical reviews · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The β-barrel assembly machinery (BAM) is a multimeric protein complex responsible for the folding of outer membrane proteins in gram-negative bacteria. It is essential for cell survival and outer membrane integrity. Therefore, it is of impact in the context of antibiotic resistance and can serve as a target for the development of new antibiotics. The interaction between two of its subunits, BamA and BamD, is essential for its function. Here, a FRET-based assay to quantify the affinity between these two proteins in living bacterial cells is presented. The method was applied to identify two interaction hotspots at the binding interface. BamD
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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.