3260 papers • 126 benchmarks • 313 datasets
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A Graph Neural Network (GNN)-based scoring function trained only with the atomic types and coordinates on limited solved RNA 3D structures for distinguishing accurate structural models and demonstrates the potential of PaxNet for improving the 3D structure modeling of RNA and other macromolecules.
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