APRANK: Computational Prioritization of Antigenic Proteins and Peptides From Complete Pathogen Proteomes.

ABSTRACT: Availability of highly parallelized immunoassays has renewed interest in the discovery of serology biomarkers for infectious diseases. Protein and peptide microarrays now provide a rapid, high-throughput platform for immunological testing and validation of potential antigens and B-cell epitopes. However, there is still a need for tools to prioritize and select relevant probes when designing these arrays. In this work we describe a computational method called APRANK (Antigenic Protein and Peptide Ranker) which integrates multiple molecular features to prioritize potentially antigenic proteins and peptides in a given pathogen proteome. These features include subcellular localization, presence of repetitive motifs, natively disordered regions, secondary structure, transmembrane spans and pred

SUBMITTER: Ricci AD 

PROVIDER: S-EPMC8320365 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature