Fentanyl-Class Vaccine Antibody Response Data

A dataset from a study redefining immune recognition of synthetic opioids. The research demonstrates that vaccination with a chemically orthogonal immunogen elicited high-titer cross-reactive antibodies, broad fentanyl-analogue binding, and protection matching a fentanyl-derived benchmark. The dataset was published by Arran W. Stewart on figshare in May 2026.

Use Cases

• Training models to predict antibody cross-reactivity based on physicochemical properties of fentanyl analogues.
• Analyzing the relationship between molecular spatial arrangement and immune recognition outcomes.
• Benchmarking vaccine efficacy by comparing protection levels against different opioid challenges.

Strengths

• Data is associated with a published study demonstrating a novel immunogen design.
• Results include specific quantitative measurements, such as a reduction in brain fentanyl from 61.9 ± 10.0 to 17.2 ± 0.7 nM.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 393 bytes, indicating limited scope.

Provenance

Source

figshare

Collection Method

Experimental data from a study on fentanyl-class vaccine immunology.

Freshness

Last updated 2026-05-12 07:46:46; freshness should be verified.