| Recommendation |
ID |
Data Information |
Model Information |
Application Information |
Reference |
| Rank |
Total_Score |
Model_ID |
Dataset_Name |
Element_type |
Data_features |
Model_name |
Algorithm_name |
Prediction_type |
Code_source |
Study_types |
Disease_name |
Target_name |
Drug_name |
Interaction_type |
Recommended_Number |
PMID |
Journal |
Publication_Year |
| 1 |
83.8 |
893 |
Cdataset |
Drug, Disease |
Drug: SMILES, Disease: MeSH |
HNet-DNN |
Deep Neural Network (DNN) |
Drug Disease Association (DDA) |
https://github.com/hliu2016/HNet-DNN |
Case studies |
Breast neoplasms |
NA |
NA |
NA |
Top 15 drugs |
32118415 |
J Chem Inf Model |
2020 |
| 1 |
83.8 |
893 |
PREDICT (Fdataset) |
Drug, Disease |
Drug: SMILES, Disease: MeSH |
HNet-DNN |
Deep Neural Network (DNN) |
Drug Disease Association (DDA) |
https://github.com/hliu2016/HNet-DNN |
Case studies |
Breast neoplasms |
NA |
NA |
NA |
Top 15 drugs |
32118415 |
J Chem Inf Model |
2020 |
| 2 |
82.7 |
1848 |
NA |
Drug, Disease, Target, Gene, Pathway |
Drug: SMILES, Disease: MeSH |
REDDA (Relations-Enhanced Drug-Disease Association prediction) |
Heterogeneous Graph Convolutional Network (HGCN) |
Drug Disease Association (DDA) |
https://github.com/gu-yaowen/REDDA |
Case studies |
Breast neoplasms |
NA |
NA |
NA |
Top 10 drugs |
36182762 |
Comput Biol Med |
2022 |
| 2 |
82.7 |
1848 |
Bdataset |
Drug, Disease, Target |
Drug: SMILES, Disease: MeSH |
REDDA (Relations-Enhanced Drug-Disease Association prediction) |
Heterogeneous Graph Convolutional Network (HGCN) |
Drug Disease Association (DDA) |
https://github.com/gu-yaowen/REDDA |
Case studies |
Breast neoplasms |
NA |
NA |
NA |
Top 10 drugs |
36182762 |
Comput Biol Med |
2022 |
| 3 |
79.3 |
2179 |
Fdataset |
Drug, Disease, Target |
Drug: SMILES, Target: Sequence, Disease: MesH |
SiSGC (Simplifying Graph Convolution) |
CatBoost |
Drug Disease Association (DDA) |
https://github.com/MrPhil/SiSGC |
Case studies |
Breast neoplasms |
NA |
NA |
NA |
Top 20 drugs |
38103039 |
J Chem Inf Model |
2024 |
| 3 |
79.3 |
2179 |
Bdataset |
Drug, Disease, Target |
Drug: SMILES, Target: Sequence, Disease: MesH |
SiSGC (Simplifying Graph Convolution) |
CatBoost |
Drug Disease Association (DDA) |
https://github.com/MrPhil/SiSGC |
Case studies |
Breast neoplasms |
NA |
NA |
NA |
Top 20 drugs |
38103039 |
J Chem Inf Model |
2024 |
| 3 |
79.3 |
2179 |
Cdataset |
Drug, Disease, Target |
Drug: SMILES, Target: Sequence, Disease: MesH |
SiSGC (Simplifying Graph Convolution) |
CatBoost |
Drug Disease Association (DDA) |
https://github.com/MrPhil/SiSGC |
Case studies |
Breast neoplasms |
NA |
NA |
NA |
Top 20 drugs |
38103039 |
J Chem Inf Model |
2024 |
| 4 |
78.3 |
1615 |
NA |
Drug, Disease, Target |
Drug: SMILES, Disease: MeSH |
HINGRL |
Random Forest (RF) |
Drug Disease Association (DDA) |
https://github.com/stevejobws/HINGRL |
Case studies |
Breast neoplasms |
NA |
NA |
NA |
Top 10 drugs |
34891172 |
Brief Bioinform |
2022 |
| 4 |
78.3 |
1615 |
Fdataset |
Drug, Disease |
Drug: SMILES, Disease: MeSH |
HINGRL |
Random Forest (RF) |
Drug Disease Association (DDA) |
https://github.com/stevejobws/HINGRL |
Case studies |
Breast neoplasms |
NA |
NA |
NA |
Top 10 drugs |
34891172 |
Brief Bioinform |
2022 |
| 5 |
72.6 |
1614 |
DrugBank |
Drug |
Drug: enzymes, side effects, substructures and targets |
GCNMK |
Graph Convolutional Network with multi-kernel (GCNMK) |
Drug Drug Interaction (DDI) |
NA |
Case studies |
Breast neoplasms |
NA |
NA |
NA |
Top 10 drugs |
34864856 |
Brief Bioinform |
2022 |