Table 4_Physicochemical convergence in antibody CDR3-VH repertoires recognizing phosphorot

A dataset from a 2026 figshare upload by Riccardo Galasso, detailing the physicochemical properties of antibody CDR3-VH clonotypes selected to bind phosphorothioate-modified oligonucleotides. The data was generated by applying a next-generation sequencing-guided phage display strategy and subsequent bioinformatic analysis. It includes a shared enriched set of 113 CDR3-VH clonotypes with defined physicochemical profiles.

Use Cases

• Training machine learning models to predict antibody-antigen binding based on physicochemical signatures like charge and hydrophobicity.
• Analyzing repertoire convergence and clonal dominance in antibody selection experiments against polyanionic targets.
• Identifying shared sequence motifs and physicochemical patterns associated with specific molecular recognition events.

Strengths

• Includes a defined set of 113 shared CDR3-VH clonotypes identified from deep sequencing.
• Physicochemical descriptors such as charge, pI, and hydrophobicity are profiled, as mentioned in the description.
• Data is associated with functional validation via ELISA and microscopy assays, as described in the source.

Limitations

• The dataset is very small at 15.0 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare, author Riccardo Galasso.

Collection Method

Generated via next-generation sequencing-guided phage display biopanning and bioinformatic pipeline analysis.

Freshness

Last updated 2026-05-29 04:50:48; freshness should be verified.