AZD3470: Human Dose Prediction Metrics for PRMT5 Inhibitor Discovery

James M. Smith published a dataset on figshare in May 2026 describing metrics used to discover AZD3470, an MTA-cooperative PRMT5 inhibitor. The dataset likely contains physicochemical properties, DMPK characteristics, and PRMT5-driven activity data for candidate compounds. The file is a 2.3 KB CSV.

Use Cases

• Predicting human dose for drug candidates based on physicochemical and DMPK properties.
• Analyzing structure-activity relationships for compounds on an isoindolinone scaffold.
• Evaluating candidate compounds for progression into clinical studies based on automated dose-to-human models.

Strengths

• Data is associated with a specific, named clinical candidate (AZD3470).
• File size is 2.3 KB, indicating a focused and manageable dataset.
• License is CC-BY-NC-4.0, allowing clear non-commercial reuse.

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

Freshness

Last updated 2026-05-22 17:11:33; freshness should be verified.