EpitopeTransfer: a Phylogeny-aware Transfer Learning Framework for Taxon-specific Linear B-cell Epitope Prediction.

ABSTRACT: The identification of linear B-cell epitopes (LBCEs) plays a pivotal role in the development of immunological products such as immunodiagnostic, vaccines and therapeutic antibodies. This criticality has led to the development of computational approaches for the prediction of LBCEs, aiming at accelerating discovery and prioritising targets for experimental assessment. Existing LBCE predictors rely on having access to large volumes of data from a wide range of pathogens to train generalist predictive models, which can result in biases towards widely studied organisms and compromise performance when focusing on neglected or emerging pathogens. We introduce EpitopeTransfer, a phylogeny-aware transfer learning strategy that results in noticeable gains in expected predictive performance. This is

SUBMITTER: Leite LP 

PROVIDER: S-EPMC12262679 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature