scikit-fingerprints/MoleculeNet_Lipophilicity
收藏Hugging Face2024-07-18 更新2024-07-22 收录
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https://hf-mirror.com/datasets/scikit-fingerprints/MoleculeNet_Lipophilicity
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资源简介:
MoleculeNet Lipophilicity数据集是MoleculeNet基准的一部分,主要用于预测辛醇/水分配系数(logD)在pH 7.4时的值。数据集的目标值已经过对数转换,是一个无单位的比率。该数据集包含4200个样本,推荐使用scaffold分割方法,并采用RMSE作为评估指标。
The Lipophilicity dataset, part of the MoleculeNet benchmark, is used to predict the octanol/water distribution coefficient (logD) at pH 7.4. It contains 4200 samples, with a regression task type, and recommends using the scaffold split method and RMSE as the evaluation metric. The dataset is primarily related to chemistry, biology, and medical fields.
提供机构:
scikit-fingerprints



