Renaud, Nicolas

DeepRank-GNN: a graph neural network framework to learn patterns in protein–protein interfaces

Réau, M., Renaud, N., Xue, L. C., & Bonvin, A. M. J. J. (2023) · Bioinformatics

Computational Drug Discovery MethodsProtein Structure and Dynamics

Cited by 190

DeepRank-GNN: A Graph Neural Network Framework to Learn Patterns in Protein-Protein Interfaces

Réau, M., Renaud, N., Xue, L. C., & Bonvin, A. M. J. J. (2021) · Bioinformatics

Computational Drug Discovery MethodsProtein Structure and Dynamics

Cited by 190

DeepRank: a deep learning framework for data mining 3D protein-protein interfaces

Renaud, N., Geng, C., Georgievska, S., Ambrosetti, F., Ridder, L., Marzella, D. F., Réau, M. F., Bonvin, A. M. J. J., & Xue, L. C. (2021) · Nature Communications

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 125

Improving generalizability and data efficiency for MHC-I binding peptide predictions through structure-based geometric deep learning

Xue, L., Marzella, D., Crocioni, G., Radusinović, T., Lepikhov, D., Severin, H., Bodor, D., Rademaker, D., Lin, C., Georgievska, S., et al. (2024) · Communications Biology

vaccines and immunoinformatics approachesMachine Learning in Bioinformatics

Cited by 18