The HF_histone_lysine_N_methyltransferase_2_G9a_inhibitors_CID_SID dataset is a part of the "Targeting neurodegeneration: three machine learning methods for G9a inhibitors" article discovery using PubChem and scikit-learn"
https://doi.org/10.1007/s10822-025-00642-z
This dataset contains 40,470 rows, each representing a unique small molecule sample. Of these, 4,194 are histone-lysine N-methyltransferase 2 (G9a) inhibitors and 36,276 are not. It includes 3 columns, which are features.
Column… See the full description on the dataset page:
https://huggingface.co/datasets/ivanovaml/HF_histone_lysine_N_methyltransferase_2_G9a_inhibitors_CID_SID.
