Antibody Antigen Binding Prediction On Pecan

AUC-PR

AUC-ROC

Results

Performance results of various models on this benchmark

			Paper Title
ParaSurf	0.733	0.955	ParaSurf: A Surface-Based Deep Learning Approach for Paratope-Antigen Interaction Prediction
Paragraph	0.696	0.934	Paragraph—antibody paratope prediction using graph neural networks with minimal feature vectors
PECAN	0.675	0.952	Learning context-aware structural representations to predict antigen and antibody binding interfaces
Parapred	0.646	0.930	Parapred: antibody paratope prediction using convolutional and recurrent neural networks
Daberdaku	0.545	0.923	Antibody interface prediction with 3D Zernike descriptors and SVM

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