| 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 |
86.05 |
2168 |
Bdataset |
Drug, Disease, Target |
Drug: SMILES, Disease: MesH, Target: Sequence |
HMLKGAT |
Graph Attention Network (The principle of three degrees influence),Multi-Kernel Learning Method (Gaussian kernel function,Cosine similarity function),Neural network |
Drug Disease Association (DDA) |
https://github.com/LDD-0914/HMLKGAT.git |
Case studies |
NA |
NA |
NA |
Drug disease interaction |
Top 5 diseases |
38051617 |
IEEE/ACM Trans Comput Biol Bioinform |
2024 |
| 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 |
NA |
NA |
Dexamethasone |
NA |
Top 10 diseases |
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 |
NA |
NA |
Ifosfamide |
NA |
Top 10 diseases |
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 |
| 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 |
Brain neoplasms |
NA |
NA |
NA |
Top 10 drugs |
36182762 |
Comput Biol Med |
2022 |
| 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 |
| 4 |
70.4 |
1866 |
Bdataset |
Drug, Disease, Target |
Drug: SMILES, Disease: MeSH, Target: sequence |
DDAGDL |
Geometric Deep Learning (GDL),XGBoost |
Drug Disease Association (DDA) |
https://github.com/stevejobws/DDAGDL |
Case studies |
Alzheimer's Disease (AD) |
NA |
NA |
NA |
Top 10 drugs |
36125202 |
Brief Bioinform |
2022 |
| 4 |
70.4 |
1866 |
Bdataset |
Drug, Disease, Target |
Drug: SMILES, Disease: MeSH, Target: sequence |
DDAGDL |
Geometric Deep Learning (GDL),XGBoost |
Drug Disease Association (DDA) |
https://github.com/stevejobws/DDAGDL |
Case studies |
Breast cancer |
NA |
NA |
NA |
Top 10 drugs |
36125202 |
Brief Bioinform |
2022 |