five

CryptoBench

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IEEE2026-04-17 收录
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https://ieee-dataport.org/documents/crypkanet-datasets
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The dataset was curated through a pipeline that included resolution filtering, geometric quality assessment, pocket RMSD calculation, and ligand-based filtration, followed by clustering at 40% sequence similarity. To prevent data leakage, the dataset was split into training and test sets with an 8:2 ratio. Finally, the dataset contains 1,107 protein structures and 1,361 CBSs. 
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Xianchen Zheng
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