Data Information

Datasets are essential for model building and optimization. Model training, validation, and testing rely on high-quality, large-scale datasets for accuracy and generalization. A well-structured dataset provides rich features and diverse samples, enabling models to capture data patterns and create accurate predictions. We list the dataset types currently in DRPMKB1.0.

 

DATA INFORMATION

Category Alphabetical sortingAll dataset name
Dataset Name A-E aBiofilm / Acute myeloid leukemia (AML) dataset / AGHEL / Amazon's dataset / Bdataset / BindingDB / BIOKG-One / BioLip / BIOSNAP / C.elegans / Cancer subset / CAS Biomedical Knowledge Graph(COVID-19) / Cdataset / CheMBL / COVID19-One / D1 / D2 / Dataset 1 / dataset 2 / Dataset 3 / Dataset 4 / dataset1_CR / dataset1_CSM / dataset1_E / dataset1_GPCR / dataset1_IC / dataset1_NR / dataset1_PK / dataset1_TR / dataset2_David / dataset2_Ketz / Davis / DDKG-V1 / DGIdb / DisGeNET (DGN) / DNdataset / DRH / DRKG / drug ECR / DrugBank / DrugBank (version 5.1.9) / DrugNet / DrugRepV / DTD / DTI-HN / DTINet / DTPKS / DUD-E / E / External _Kinases / External data / External Set-1 / External Set-2 / External validation set / External_GPCR
F-J FD dataset / Fdataset / Fdataset (Dataset 2) / Gdataset / Gdataset (Fdataset) / Global / Golden standard / Gottlieb dataset (Fdataset) / GPCR / GP-KG / Hetero-A / Hetero-B / Hetero-C / HetioNet / HGBI / Human / IC / iDrug (ID)
K-O KEGG / KIBA / Kinase (K) dataset / Kinases / Kuang's dataset / Ldataset / LINCS L1000 / LL / LRSSL / Luo's dataset / MalaCards (MC) / MATADOR / MULAN / Multi-scale interactome (MSI) network / NA / NDF-RT / NEDTP / Negative dataset / Negative set / NELL-One / NeoDTI / NR / Olayan RS / OpenBioLink / Ovarian Cancer Dataset / Own dataset
P-T PDBBind / PMID: 24551427 / Positive dataset / PREDICT (Fdataset) / RepoDB / RepoDB (RDB) / RPD-Net / SLAMS / SMDC / SND / STITCH / T1 / T2 / TL-HBGI / TL-HGBI / Training Data-(DrugBank (v4.3), TTD, PharmGKB)
U-Z Validations-ChEMBL / Validations-DrugCentral / Yamanishi / Yamanishi_E / Yamanishi_GPCR / Yamanishi_IC / Yamanishi_NR / Zhang's book / Zhang's dataset
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