Antibody Antigen Binding Prediction On Pecan
评估指标
AUC-PR
AUC-ROC
评测结果
各个模型在此基准测试上的表现结果
模型名称 | AUC-PR | AUC-ROC | Paper Title | Repository |
---|---|---|---|---|
PECAN | 0.675 | 0.952 | Learning context-aware structural representations to predict antigen and antibody binding interfaces | |
Daberdaku | 0.545 | 0.923 | Antibody interface prediction with 3D Zernike descriptors and SVM | |
ParaSurf | 0.733 | 0.955 | ParaSurf: A Surface-Based Deep Learning Approach for Paratope-Antigen Interaction Prediction | |
Parapred | 0.646 | 0.930 | Parapred: antibody paratope prediction using convolutional and recurrent neural networks | |
Paragraph | 0.696 | 0.934 | Paragraph—antibody paratope prediction using graph neural networks with minimal feature vectors |
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