eALM1137: Structure-Activity Data for a Novel mTOR Inhibitor Targeting Glioblastoma

4.9 KB of data from a medicinal chemistry study exploring pyrazolo[3,4-d]pyrimidine compounds as mTOR inhibitors. The dataset, authored by Álvaro Lorente-Macías and last updated in April 2026, likely contains structure-activity relationship (SAR) data generated through iterative synthesis and screening against glioblastoma multiforme cell lines.

Use Cases

• Train quantitative structure-activity relationship (QSAR) models based on the described pyrazolo[3,4-d]pyrimidine scaffold modifications.
• Analyze correlations between mTOR selectivity and anti-proliferative activity in glioblastoma cell lines as described in the study.
• Benchmark new compound designs against the 'best-in-class' inhibitor eALM1137 (compound 3n) identified in the research.

Strengths

• Data is associated with a published research project that validated preclinical potential in advanced GBM stem cell models.
• The dataset is small (4.9 KB), facilitating quick download and initial inspection.

Limitations

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

Provenance

Source

figshare, authored by Álvaro Lorente-Macías.

Collection Method

Data likely generated from iterative synthesis and biological screening of small compound libraries.

Time Range

Temporal coverage is not specified in the provided metadata.

Freshness

Last updated 2026-04-13 04:34:23; freshness should be verified.

Geography

Spatial coverage is not specified in the provided metadata.