SHASI-ML: a machine learning-based approach for immunogenicity prediction in Salmonella vaccine development

SHASI-ML: a machine learning-based approach for immunogenicity prediction in Salmonella vaccine development

IntroductionAccurate prediction of immunogenic proteins is crucial for vaccine development and understanding host-pathogen interactions in bacterial diseases, particularly for Salmonella infections which remain a significant global health challenge.MethodsWe developed SHASI-ML, a machine learning-ba...

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Bibliographic Details
Main Authors: Ottavia Spiga, Anna Visibelli, Francesco Pettini, Bianca Roncaglia, Annalisa Santucci
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Cellular and Infection Microbiology
Subjects:
Salmonella
artificial intelligence
machine learning
vaccines
immunogenicity
Online Access:https://www.frontiersin.org/articles/10.3389/fcimb.2025.1536156/full
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