Comprehensive Chemoproteomics: Selective HMGCS1 Inhibitors for Cancer Metabolism

A dataset from figshare by Liang Sun, last updated in May 2026, detailing chemoproteomic profiles of covalent inhibitors targeting the mevalonate pathway in cancer. It includes data supporting the development of CNP7, a selective HMG-CoA synthase 1 inhibitor, and features a 2.29 Å cryo-EM structure. The dataset is 2.4 MB in size and available in XLSX format.

Use Cases

• Validate on- and off-target profiles of covalent inhibitors based on orthogonal chemoproteomic methods.
• Compare target engagement ratios across the proteome using scavenging proteomics data.
• Analyze cell line-specific anticancer activity patterns based on HMGCS1 inhibition data.
• Study protein deprenylation effects following HMG-CoA level reduction based on treatment results.

Strengths

• Includes a 2.29 Å cryo-EM structure of the inhibitor-enzyme complex.
• Data size is 2.4 MB, indicating a focused and manageable dataset.
• Description details a specific chemical probe (CNP7) and its selectivity assessment.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect experimental bias inherent to the specific study methodology.

Provenance

Source

figshare

Collection Method

Integrated orthogonal chemoproteomic methods, including enrichment and scavenging proteomics.

Freshness

Last updated 2026-05-13 18:04:57; freshness should be verified.