Eve Richardson

The paper revises the standardization and validation pipeline for immune receptor data in the IEDB to improve data consistency and usability.

IMMREP25 evaluates TCR:pMHC binding prediction for unseen peptides, showing improved performance with structural modeling but still below random guessing.

EPITOME is a multimodal pipeline that combines OCR, text matching, and VLMs to automate and enhance epitope data curation from scientific papers.

The paper identifies that CDR1 and CDR2 sequence identities are more predictive of epitope similarity than CDR3, and develops BCRMatch to predict epitope binding based on antibody sequences.

The paper benchmarks 49 algorithms for predicting B. pertussis vaccination outcomes, finding that purpose-built models outperform literature-based ones due to better handling of nonlinearities and data preprocessing.

The paper curates high-quality human immunoglobulin germline gene reference sets to improve AIRR-seq analysis accuracy and facilitate immunoglobulin gene studies.

The paper introduces a method to identify novel cross-clonotype antibodies by clustering based on predicted paratope features, validated on a Pertussis toxoid dataset.