Using a combined computational-experimental approach to predict antibody-specific B cell epitopes

Inbal Sela-Culang, Mohammed Rafii El Idrissi Benhnia, Michael H. Matho, Thomas Kaever, Matt Maybeno, Andrew Schlossman, Guy Nimrod, Sheng Li, Yan Xiang, Dirk Zajonc, Shane Crotty, Yanay Ofran, Bjoern Peters

Research output: Contribution to journalArticlepeer-review

33 Scopus citations

Abstract

Antibody epitope mapping is crucial for understanding B cell-mediated immunity and required for characterizing therapeutic antibodies. In contrast to T cell epitope mapping, no computational tools are in widespread use for prediction of B cell epitopes. Here, we show that, utilizing the sequence of an antibody, it is possible to identify discontinuous epitopes on its cognate antigen. The predictions are based on residue-pairing preferences and other interface characteristics. We combined these antibody-specific predictions with results of cross-blocking experiments that identify groups of antibodies with overlapping epitopes to improve the predictions. We validate the high performance of this approach by mapping the epitopes of a set of antibodies against the previously uncharacterized D8 antigen, using complementary techniques to reduce method-specific biases (X-ray crystallography, peptide ELISA, deuterium exchange, and site-directed mutagenesis). These results suggest that antibody-specific computational predictions and simple cross-blocking experiments allow for accurate prediction of residues in conformational B cell epitopes.

Original languageEnglish (US)
Pages (from-to)646-657
Number of pages12
JournalStructure
Volume22
Issue number4
DOIs
StatePublished - Apr 8 2014

ASJC Scopus subject areas

  • Structural Biology
  • Molecular Biology

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