Enzymatic Bromination and Cross-Coupling Data for Bioactive Peptides

Research data from figshare, authored by Haley N. Bridge, last updated on 2026-04-28. The dataset likely contains results from experiments on the enzymatic bromination of native peptides using flavin-dependent halogenases, followed by Suzuki–Miyaura cross-coupling for structural diversification. It includes analysis of diverse peptide sequences, including antimicrobial, cell-penetrating, and G protein-coupled receptor agonist scaffolds.

Use Cases

• Training models to predict enzymatic halogenase activity based on peptide sequence features mentioned in the description
• Analyzing the relationship between peptide sequence context and bromination efficiency for different halogenase variants
• Developing structure-activity relationship models for bioactive peptides modified via Suzuki–Miyaura coupling
• Benchmarking new biocatalytic methods for peptide diversification against the reported substrate landscape

Strengths

• Data is associated with a detailed research methodology described in the summary, including the use of specific enzymes RebH and variant 4V.
• The dataset covers a broad range of peptide sequences and positional contexts, as stated in the description.
• File format is XLSX, which is widely compatible for tabular data analysis.

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 small in scale at 599.7 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Likely contains experimental results from enzymatic bromination and cross-coupling reactions on peptides.

Freshness

Last updated 2026-04-28 06:30:15; freshness should be verified.