BATMAN: Improved T cell receptor cross-reactivity prediction benchmarked on a comprehensive mutational scan database

Banerjee, Amitava, Pattinson, David J, Wincek, Cornelia L, Bunk, Paul, Chapin, Sarah R, Navlakha, Saket, Meyer, Hannah V (January 2024) BATMAN: Improved T cell receptor cross-reactivity prediction benchmarked on a comprehensive mutational scan database. bioRxiv. (Submitted)

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DOI: 10.1101/2024.01.22.576714

Abstract

Predicting T cell receptor (TCR) activation is challenging due to the lack of both unbiased benchmarking datasets and computational methods that are sensitive to small mutations to a peptide. To address these challenges, we curated a comprehensive database encompassing complete single amino acid mutational assays of 10,750 TCR-peptide pairs, centered around 14 immunogenic peptides against 66 TCRs. We then present an interpretable Bayesian model, called BATMAN, that can predict the set of peptides that activates a TCR. When validated on our database, BATMAN outperforms existing methods by 20% and reveals important biochemical predictors of TCR-peptide interactions.

Item Type:	Paper
Subjects:	organs, tissues, organelles, cell types and functions > cell types and functions > cell types > T cells organs, tissues, organelles, cell types and functions > cell types and functions > cell types > T cells organs, tissues, organelles, cell types and functions > cell types and functions > cell types > T cells organs, tissues, organelles, cell types and functions > cell types and functions > cell types organs, tissues, organelles, cell types and functions > cell types and functions > cell types organs, tissues, organelles, cell types and functions > cell types and functions > cell types organs, tissues, organelles, cell types and functions > cell types and functions organs, tissues, organelles, cell types and functions
CSHL Authors:	Navlakha, Saket Meyer, Hannah V. Chapin, Sarah Banerjee, Amitava Wincek, Cornelia
Communities:	CSHL labs > Meyer Lab CSHL labs > Navlakha lab
SWORD Depositor:	CSHL Elements
Depositing User:	CSHL Elements
Date:	25 January 2024
Date Deposited:	02 Feb 2024 19:03
Last Modified:	02 Feb 2024 19:03
Related URLs:	Publisher
URI:	https://repository.cshl.edu/id/eprint/41429

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