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wanghua
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2024-08-01 加入
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ProAffinity-GNN: A Novel Approach to Structure-Based Protein–Protein Binding Affinity Prediction via a Curated Data Set and Graph Neural Networks
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Predicting Protein-Peptide Interactions: Benchmarking Deep Learning Techniques and a Comparison with Focused Docking
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Alchemical Transformations and Beyond: Recent Advances and Real-World Applications of Free Energy Calculations in Drug Discovery
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PepPFN: protein-peptide binding residues prediction via pre-trained module-based Fourier Network
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PocketFlow is a data-and-knowledge-driven structure-based molecular generative model
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