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Antibody Antigen Binding Prediction On Mipe

Metrics

AUC-PR

AUC-ROC

Results

Performance results of various models on this benchmark

			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	-

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Antibody Antigen Binding Prediction On Mipe | SOTA | HyperAI