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Dataset Information

Brewpitopes: a pipeline to refine B-cell epitope predictions during public health emergencies.


ABSTRACT: The application of B-cell epitope identification to develop therapeutic antibodies and vaccine candidates is well established. However, the validation of epitopes is time-consuming and resource-intensive. To alleviate this, in recent years, multiple computational predictors have been developed in the immunoinformatics community. Brewpitopes is a pipeline that curates bioinformatic B-cell epitope predictions obtained by integrating different state-of-the-art tools. We used additional computational predictors to account for subcellular location, glycosylation status, and surface accessibility of the predicted epitopes. The implementation of these sets of rational filters optimizes in vivo antibody recognition properties of the candidate epitopes. To validate Brewpitopes, we performed

SUBMITTER: Farriol-Duran R 

PROVIDER: S-EPMC10730938 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature