DiscoTope-3.0: improved B-cell epitope prediction using inverse folding latent representations.

ABSTRACT: Accurate computational identification of B-cell epitopes is crucial for the development of vaccines, therapies, and diagnostic tools. However, current structure-based prediction methods face limitations due to the dependency on experimentally solved structures. Here, we introduce DiscoTope-3.0, a markedly improved B-cell epitope prediction tool that innovatively employs inverse folding structure representations and a positive-unlabelled learning strategy, and is adapted for both solved and predicted structures. Our tool demonstrates a considerable improvement in performance over existing methods, accurately predicting linear and conformational epitopes across multiple independent datasets. Most notably, DiscoTope-3.0 maintains high predictive performance across solved, relaxed and predicte

SUBMITTER: Hoie MH 

PROVIDER: S-EPMC10882062 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature