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Found 2 papers, 1 papers with code
PointGAT: A quantum chemical property prediction model integrating graph attention and 3D geometry
Findings in this study support the application of PointGAT as a powerful and versatile tool for quantum chemical property prediction that can facilitate high-accuracy modeling for fundamental exploration of chemical space as well as drug design and molecular engineering.
Protein-DNA binding sites prediction based on pre-trained protein language model and contrastive learning
We trained the CLAPE-DB model on the protein-DNA binding sites dataset and evaluated the model performance and generalization ability through various experiments.
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