SeRenDIP-CE: sequence-based interface prediction for conformational epitopes.

ABSTRACT:

Motivation

Antibodies play an important role in clinical research and biotechnology, with their specificity determined by the interaction with the antigen's epitope region, as a special type of protein-protein interaction (PPI) interface. The ubiquitous availability of sequence data, allows us to predict epitopes from sequence in order to focus time-consuming wet-lab experiments toward the most promising epitope regions. Here, we extend our previously developed sequence-based predictors for homodimer and heterodimer PPI interfaces to predict epitope residues that have the potential to bind an antibody.

Results

We collected and curated a high quality epitope dataset from the SAbDab database. Our generic PPI heterodimer predictor obtained an AUC-ROC of 0.666 when evaluated on

SUBMITTER: Hou Q 

PROVIDER: S-EPMC8136078 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature