Fluorescence Polarization-Based High-Throughput Screening Enables Identification of Vibrio

Bo Jin published a dataset on figshare in April 2026 detailing results from a fluorescence polarization-based high-throughput screening assay. The 4.2 KB CSV file contains data related to the identification of VbrK kinase inhibitors, such as LPZ-51, which counteract antibiotic resistance in Vibrio bacteria. The dataset supports the described research into a mechanistically distinct antiresistance strategy complementary to existing beta-lactam therapies.

Use Cases

• Training models to predict inhibitor efficacy based on fluorescence polarization assay results described in the study.
• Analyzing structure-activity relationships for VbrK kinase inhibitors like LPZ-51 mentioned in the description.
• Benchmarking high-throughput screening methods for identifying compounds that block beta-lactamase induction at the transcriptional level.
• Supporting computational studies on synergistic effects between novel inhibitors and carbenicillin, as tested in the zebrafish model.

Strengths

• Dataset is explicitly linked to a published research strategy for countering antibiotic resistance.
• File is provided in the simple, accessible CSV format at 4.2 KB.
• Data is associated with a specific, optimized fluorescence polarization-based screening assay described in the work.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Generated from an optimized fluorescence polarization-based high-throughput screening assay followed by hit-to-lead optimization, as described.

Time Range

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Freshness

Last updated 2026-04-30 07:04:06; freshness should be verified.

Geography

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