Apis mellifera Venom Peptides with TRPV1-Targeting and Anti-Inflammatory Activity

472 peptides from Apis mellifera venom were identified via de novo sequencing, with 103 high-confidence sequences. Ten novel peptides were identified as candidate TRPV1-targeting agents, and three synthesized peptides showed anti-inflammatory effects in macrophage assays. The dataset was published by Kai Wang on figshare in April 2026.

Use Cases

• Training peptide sequence classification models based on the 472 identified sequences.
• Analyzing peptide-protein interactions for TRPV1-targeting drug discovery based on the affinity screening results.
• Modeling dose-dependent cytokine modulation based on the described TNF-α, IL-6, and IL-1β suppression data.
• Conducting pathway enrichment analysis for anti-inflammatory mechanisms based on the NF-κB and redox pathway findings.

Strengths

• Includes 472 identified peptide sequences with average local confidence scores.
• Contains 103 high-confidence peptides (ALC ≥ 80%) for reliable analysis.
• Provides experimental validation for three synthesized peptides, including specific inhibition percentages (e.g., 62.5% TNF-α inhibition).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 13.4 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

De novo sequencing-based peptidomics and TRPV1-based affinity screening of Apis mellifera venom.

Time Range

Study period not specified.

Freshness

Last updated 2026-04-14 07:45:22; freshness should be verified.

Geography

Not specified.