DeepRank
Deep learning framework for data mining protein-protein interactions using CNN
DeepRank2 is an open-source deep learning framework for data mining of protein-protein interfaces or single-residue missense variants. This package is an improved and unified version of three previously developed packages: DeepRank, DeepRank-GNN and DeepRank-Mut.
DeepRank2 is an open-source deep learning framework for data mining of protein-protein interfaces or single-residue missense variants. This package is an improved and unified version of three previously developed packages: DeepRank, DeepRank-GNN and DeepRank-Mut.
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DeepRank2 allows for transformation of (.PDB formatted) molecular data into 3D representations (either grids or graphs) containing structural and physico-chemical information, which can be used for training neural networks. DeepRank2 also offers a pre-implemented training pipeline, using either convolutional neural networks (for grids) or graph neural networks (for graphs), as well as output exporters for evaluating performances.
Main features:
DeepRank2 extensive documentation can be found here.
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Scoring 3D protein-protein interaction models using deep learning
Deep learning framework for data mining protein-protein interactions using CNN
DeepRank-GNN is the graph neural network of our DeepRank package. DeepRank GNN allows to train graph neural networks to classify protein-protein interface