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Ai Biomedical Engineering

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Ai Biomedical Engineering

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Research Frontiers in Graph Neural Networks Protein Folding

Graph-based deep learning approaches for predicting three-dimensional protein structures from amino acid sequences.

Equivariant Symmetries in Protein Geometry Learning
Message Passing Dynamics Across Folding Landscapes
Graph Heterogeneity and Domain Interface Recognition
Temporal Evolution of Folding Pathways via GNNs
Attention Mechanisms in Residue-Residue Contact Prediction
Topological Invariants in Protein Structure Inference
Multi-Scale Node Embeddings for Quaternary Assembly
Disentangling Sequence Bias from Structural Constraints
Graph Convolution at Membrane-Protein Boundaries
Learnable Propagation Rules for Mutation Effect Prediction

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