Predicting viral proteins that evade the innate immune system: a machine learning-based immunoinformatics tool

Predicting viral proteins that evade the innate immune system: a machine learning-based immunoinformatics tool

Abstract Viral proteins that evade the host’s innate immune response play a crucial role in pathogenesis, significantly impacting viral infections and potential therapeutic strategies. Identifying these proteins through traditional methods is challenging and time-consuming due to the complexity of v...

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Bibliographic Details
Main Authors: Jorge F. Beltrán, Lisandra Herrera Belén, Alejandro J. Yáñez, Luis Jimenez
Format: Article
Language:English
Published: BMC 2024-11-01
Series:BMC Bioinformatics
Subjects:
Virus
Machine learning
Deep learning
Protein
Immune system
Online Access:https://doi.org/10.1186/s12859-024-05972-7
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https://doi.org/10.1186/s12859-024-05972-7

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