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SOTA
抗体-抗原结合预测
Antibody Antigen Binding Prediction On Mipe
Antibody Antigen Binding Prediction On Mipe
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
Columns
模型名称
AUC-PR
AUC-ROC
Paper Title
Repository
ParaSurf
0.781
0.967
ParaSurf: A Surface-Based Deep Learning Approach for Paratope-Antigen Interaction Prediction
-
MIPE
0.741
0.927
Improving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness Estimation
Pesto
0.724
0.856
PeSTo: parameter-free geometric deep learning for accurate prediction of protein binding interfaces
-
PECAN
0.713
0.915
Learning context-aware structural representations to predict antigen and antibody binding interfaces
-
Parapred
0.652
0.868
Parapred: antibody paratope prediction using convolutional and recurrent neural networks
-
Paragraph
0.650
0.927
Paragraph—antibody paratope prediction using graph neural networks with minimal feature vectors
-
AG-Fast-Parapred
0.612
0.883
Attentive cross-modal paratope prediction
-
0 of 7 row(s) selected.
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Antibody Antigen Binding Prediction On Mipe | SOTA | HyperAI超神经