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DrugGEN Resource Collection: Training Data, Model Weights, Generated Molecules, Docking and MD Analyses

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DataCite Commons2025-06-01 更新2025-09-08 收录
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The DrugGEN dataset repository archives the full training datasets (curated ChEMBL compounds, AKT1 and CDK2 bioactivity records, smiles correction datasets), the pre-trained weight files for all targeted and non-targeted model variants, and all result artefacts—including de novo–generated molecules, docking output tables, and Molecular Dynamics analyses.The repository is organized as follows:<b>data/</b>Raw dataset filesSMILES correction files<b>encoders/</b> — Encoder files for molecular representations<b>decoders/</b> — Decoder files for molecular representations<b>experiments/</b><b>models/</b> — Pre-trained weights (DrugGEN-AKT1, DrugGEN-CDK2, NoTarget)<b>results/</b><b>generated_molecules/</b> — De novo molecules analyzed in the paper<b>docking/</b> — Molecular docking results for de novo molecules from DrugGEN and models compared in the paper<b>MD_Data.zip</b> — MD trajectory data for selected 6 molecules (trajectories can be found at: https://drive.google.com/drive/folders/1aBRoTaacF63RjaOMihx2JpbkS3nGmvaU)<br><br>

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figshare
创建时间:
2025-05-27
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