Evaluation of Different Machine Learning Approaches to Predict Antigenic Distance Among Newcastle Disease Virus (NDV) Strains

Evaluation of Different Machine Learning Approaches to Predict Antigenic Distance Among Newcastle Disease Virus (NDV) Strains

Newcastle disease virus (NDV) continues to present a significant challenge for vaccination due to its rapid evolution and the emergence of new variants. Although molecular and sequence data are now quickly and inexpensively produced, genetic distance rarely serves as a good proxy for cross-protectio...

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Main Authors: Giovanni Franzo, Alice Fusaro, Chantal J. Snoeck, Aleksandar Dodovski, Steven Van Borm, Mieke Steensels, Vasiliki Christodoulou, Iuliana Onita, Raluca Burlacu, Azucena Sánchez Sánchez, Ilya A. Chvala, Mia Kim Torchetti, Ismaila Shittu, Mayowa Olabode, Ambra Pastori, Alessia Schivo, Angela Salomoni, Silvia Maniero, Ilaria Zambon, Francesco Bonfante, Isabella Monne, Mattia Cecchinato, Alessio Bortolami
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Viruses
Subjects:
NDV
machine learning
sequencing
cross-protection
hemagglutination inhibition
antigenic cartography
Online Access:https://www.mdpi.com/1999-4915/17/4/567
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