Zonula Occludens Toxin: Immunoinformatic Profiling for Vaccine Targeting

Comparative analysis of 62 full-length Zonula occludens toxin (Zot) homologs from Acinetobacter baumannii isolates underpins this immunoinformatic dataset. It contains results from high-resolution epitope mapping, identifying conserved B-cell–accessible regions and MHC Class I and II binding motifs. The data provides a foundation for evaluating Zot as a structurally constrained target for immunotherapeutic intervention against multidrug-resistant pathogens.

Use Cases

• Prioritizing conserved T-cell epitopes based on predicted MHC binding motif resilience across divergent strains.
• Identifying structurally constrained B-cell–accessible regions for antibody-based therapeutic design.
• Comparative evolutionary analysis of virulence factor sequence diversity using the set of 62 Zot homologs.
• Validating immunoinformatic predictions through experimental vaccine development pipelines.

Strengths

• Analysis is based on a defined set of 62 full-length Zot protein homologs, providing a concrete scale for evolutionary comparison.
• High-resolution mapping identifies specific, conserved regions like a compact C-terminal domain with strong structural constraint.
• Dataset is openly available under a CC-BY-4.0 license, facilitating reuse and derivative work.

Limitations

• Column names and exact row counts are not provided, limiting understanding of the dataset's internal structure.
• The dataset's temporal and geographic coverage for the source bacterial isolates is not specified.
• File size metadata shows a minor conflict between sources (8172 vs 8162), indicating potential versioning or upload discrepancies.

Provenance

Source

Payam Benyamini

Collection Method

Integrated immunoinformatic and evolutionary framework applied to protein sequences.

Freshness

Last updated on 2026-06-04.