PAPreC: A Pipeline for Antigenicity Prediction Comparison Methods across Bacteria.

ABSTRACT: Antigenicity prediction plays a crucial role in vaccine development, antibody-based therapies, and diagnostic assays, as this predictive approach helps assess the potential of molecular structures to induce and recruit immune cells and drive antibody production. Several existing prediction methods, which target complete proteins and epitopes identified through reverse vaccinology, face limitations regarding input data constraints, feature extraction strategies, and insufficient flexibility for model evaluation and interpretation. This work presents PAPreC (Pipeline for Antigenicity Prediction Comparison), an open-source, versatile workflow (available at https://github.com/YasCoMa/paprec_nx_workflow) designed to address these challenges. PAPreC systematically examines three key factors: the

SUBMITTER: Martins YC 

PROVIDER: S-EPMC11840615 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature