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Improving B-cell epitope prediction
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AI
DOI：10.1016/j.drudis.2025.104489.png)
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Abstract
En 中文
• The prediction of B-cell epitopes is essential for advancing antibody therapeutics. • Computational prediction methods enable the rapid screening of large datasets. • Progress in machine learning substantially improved epitope prediction. • In spite of the recent progress, the current methods still require experimental validation. • The key to higher accuracy is improving the structural modeling of antibody–antigen interactions.