Discovery and Characterization of Benzamide Derivatives as SUCNR1 Antagonists

Zhiyuan Cheng published a dataset on figshare in 2026 describing the discovery of benzamide-based SUCNR1 antagonists for cancer immunotherapy. The data likely contains results from structure-activity relationship exploration, cell functional assays, and molecular dynamics simulations. The dataset is small, at 2.6 KB, and is available in CSV format under a CC-BY-NC-4.0 license.

Use Cases

• Training predictive models for SUCNR1 antagonistic activity based on compound structural features mentioned in the description
• Analyzing structure-activity relationships for benzamide derivatives described in the SAR exploration
• Validating molecular dynamics simulation results for water-bridged hydrogen bonds with residue Glu22
• Investigating the reversal of succinate-mediated immunosuppression in macrophages based on gene expression data

Strengths

• Dataset is small (2.6 KB), facilitating quick download and inspection.
• Description provides specific details on low-nanomolar antagonistic activity and key molecular interactions.

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

Zhiyuan Cheng via figshare

Collection Method

Likely contains experimental data from internal library screening, SAR exploration, cell functional assays, and molecular dynamics simulations.

Freshness

Last updated 2026-05-08 13:06:04; freshness should be verified.