Human Liver Cell Proteomes for Drug Activity Profiling

Proteomic data from human liver cells, intended for drug activity profiling using machine learning. The dataset, authored by Shaon Basu, consists of 685.7 MB of DIA-MS input files in TSV and XLSX formats and was last updated on April 14, 2026.

Use Cases

• Training ML models for drug activity prediction based on proteomic profiles.
• Identifying protein biomarkers for drug response using mass spectrometry data.
• Developing computational pipelines for analyzing DIA-MS proteomic data.

Strengths

• Data size is 685.7 MB, indicating a substantial volume of proteomic information.
• Files are provided in both TSV and XLSX formats, offering flexibility for different analysis tools.
• License is CC-BY-4.0, permitting broad reuse and modification.

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

Shaon Basu via figshare.

Collection Method

Likely generated from Data-Independent Acquisition Mass Spectrometry (DIA-MS) experiments on human liver cells.

Freshness

Last updated 2026-04-14 15:06:42; freshness should be verified.