Rapid Optimization: Single-Molecule Tracking Data for a RUVBL1/2 Inhibitor

Li Zheng's dataset on figshare contains data related to the discovery of a potent RUVBL1/2 inhibitor for targeting MYC-driven cancers. The data, last updated in April 2026, includes PDB files totaling 836.8 KB. The description details a drug discovery campaign using a Single-Molecule Tracking (SMT) assay to optimize compound efficacy.

Use Cases

• Training models to predict compound potency based on Single-Molecule Tracking assay data mentioned in the description
• Analyzing structure-activity relationships (SAR) for RUVBL1/2 inhibitors described in the research
• Benchmarking live-cell assay performance against biochemical assays like ADP-Glo as discussed in the study

Strengths

• Data is associated with a published research methodology using a live-cell high-throughput RUVBL SMT assay, described as robust and reproducible.
• Includes PDB files (836.8 KB) likely containing structural data for the discovered inhibitor compound 18.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality and completeness require manual inspection after download.

Provenance

Source

figshare, author Li Zheng.

Collection Method

Likely contains experimental data from a drug discovery SAR campaign using Single-Molecule Tracking assays.

Time Range

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Freshness

Last updated 2026-04-22 15:07:09; freshness should be verified.

Geography

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