A deep learning model for predicting systemic lupus erythematosus-associated epitopes

A deep learning model for predicting systemic lupus erythematosus-associated epitopes

Abstract Background The accurate prediction of epitopes associated with Systemic Lupus Erythematosus (SLE) plays a vital role in advancing our understanding of autoimmune pathogenesis and in designing effective immunotherapeutics. Traditional bioinformatics methods often struggle to capture the intr...

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Bibliographic Details
Main Authors: Jiale He, Zixia Liu, Xiaopo Tang
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Systemic lupus erythematosus (SLE)
Epitope prediction
Deep learning
Bidirectional lSTM
Immunoinformatics
Online Access:https://doi.org/10.1186/s12911-025-03056-x
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https://doi.org/10.1186/s12911-025-03056-x

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