64 Silicon-Containing Pharmacophores for Target Protein Degrader Development

A collection of 64 silicon-containing pharmacophores constructed through modular synthesis for drug discovery. The dataset, authored by Zhigang Wu and last updated in April 2026, includes results from screening these compounds for their ability to recruit protein degradation systems. It demonstrates the application of a silicon–carbon switch strategy to develop new drug motifs with therapeutic potential.

Use Cases

• Training predictive models for drug-like properties based on silicon-centered pharmacophore structures.
• Screening for novel protein degraders based on the described sila-pharmacophore library.
• Analyzing structure-activity relationships for sila-protein degraders (SiDs) based on the synthesis and screening results.
• Designing modular drug discovery pipelines based on the stepwise functionalization approach using Si–H or Si–X bonds.

Strengths

• Contains data on 64 specifically synthesized silicon-containing pharmacophores.
• Includes experimental results demonstrating tumor-suppressive activity in a xenograft model using the H3122 cell line.
• Dataset is shared under a CC-BY-NC-4.0 license, permitting non-commercial reuse with attribution.

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 the specific experimental bias inherent to the single research study described.

Provenance

Source

figshare

Collection Method

Data likely originates from laboratory synthesis and biological screening experiments described in the study.

Time Range

The dataset reflects research current as of its last update in April 2026.

Freshness

Last updated 2026-04 23 14:05:54; freshness should be verified.

Geography

Geography is not specified in the provided metadata.