| 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 |
90.6 |
1539 |
LRSSL |
Drug, Disease |
Drug: SMILES, Disease: MeSH |
DRHGCN (Drug Repositioning based on the Heterogeneous information fusion Graph Convolutional Network) |
Graph Convolutional Network (GCN) |
Drug Disease Association (DDA) |
https://github.com/TheWall9/DRHGCN |
Case studies |
Parkinson’s Disease (PD) |
NA |
NA |
NA |
Top 10 drugs |
34378011 |
Brief Bioinform |
2021 |
| 1 |
90.6 |
1539 |
Fdataset |
Drug, Disease |
Drug: SMILES, Disease: MeSH |
DRHGCN (Drug Repositioning based on the Heterogeneous information fusion Graph Convolutional Network) |
Graph Convolutional Network (GCN) |
Drug Disease Association (DDA) |
https://github.com/TheWall9/DRHGCN |
Case studies |
Parkinson’s Disease (PD) |
NA |
NA |
NA |
Top 10 drugs |
34378011 |
Brief Bioinform |
2021 |
| 1 |
90.6 |
1539 |
Cdataset |
Drug, Disease |
Drug: SMILES, Disease: MeSH |
DRHGCN (Drug Repositioning based on the Heterogeneous information fusion Graph Convolutional Network) |
Graph Convolutional Network (GCN) |
Drug Disease Association (DDA) |
https://github.com/TheWall9/DRHGCN |
Case studies |
Parkinson’s Disease (PD) |
NA |
NA |
NA |
Top 10 drugs |
34378011 |
Brief Bioinform |
2021 |
| 1 |
90.6 |
1539 |
Ldataset |
Drug, Disease |
Drug: SMILES, Disease: MeSH |
DRHGCN (Drug Repositioning based on the Heterogeneous information fusion Graph Convolutional Network) |
Graph Convolutional Network (GCN) |
Drug Disease Association (DDA) |
https://github.com/TheWall9/DRHGCN |
Case studies |
Parkinson’s Disease (PD) |
NA |
NA |
NA |
Top 10 drugs |
34378011 |
Brief Bioinform |
2021 |
| 2 |
81.4 |
1860 |
Fdataset |
Drug, Disease |
Drug: SMILES, Disease: MeSH |
EMPHCN (Enhanced Message Passing and Hypergraph Convolutional Networks) |
Graph Convolutional Network (GCN) |
Drug Disease Association (DDA) |
https://github.com/hwh7301/EMPHCN |
Case studies |
Parkinson’s Disease (PD) |
NA |
NA |
NA |
Top 10 drugs |
36359016 |
Biomolecules |
2022 |
| 2 |
81.4 |
1860 |
Cdataset |
Drug, Disease |
Drug: SMILES, Disease: MeSH |
EMPHCN (Enhanced Message Passing and Hypergraph Convolutional Networks) |
Graph Convolutional Network (GCN) |
Drug Disease Association (DDA) |
https://github.com/hwh7301/EMPHCN |
Case studies |
Parkinson’s Disease (PD) |
NA |
NA |
NA |
Top 10 drugs |
36359016 |
Biomolecules |
2022 |
| 2 |
81.4 |
1860 |
T1 |
Drug, Disease, Target |
Drug: SMILES, Disease: MeSH |
EMPHCN (Enhanced Message Passing and Hypergraph Convolutional Networks) |
Graph Convolutional Network (GCN) |
Drug Disease Association (DDA) |
https://github.com/hwh7301/EMPHCN |
Case studies |
Parkinson’s Disease (PD) |
NA |
NA |
NA |
Top 10 drugs |
36359016 |
Biomolecules |
2022 |
| 2 |
81.4 |
1860 |
T2 |
Drug, Disease, Target |
Drug: SMILES, Disease: MeSH |
EMPHCN (Enhanced Message Passing and Hypergraph Convolutional Networks) |
Graph Convolutional Network (GCN) |
Drug Disease Association (DDA) |
https://github.com/hwh7301/EMPHCN |
Case studies |
Parkinson’s Disease (PD) |
NA |
NA |
NA |
Top 10 drugs |
36359016 |
Biomolecules |
2022 |
| 3 |
78.1 |
2203 |
LRSSL |
Drug, Disease |
Chemical, Pharmacological, Therapeutic, Phenotypic, Genetic, Environment properties |
WMAGT |
Graph Convolutional Network,Graph Transformer,Neural Collaborative Filtering,Multilayer Perceptron |
Drug Disease Association (DDA) |
https://github.com/ShiHHe/WMAGT |
Case studies |
Parkinson’s Disease (PD) |
NA |
NA |
NA |
Top 10 drugs |
38378479 |
BMC Bioinformatics |
2024 |
| 3 |
78.1 |
2203 |
Fdataset |
Drug, Disease |
Chemical, Pharmacological, Therapeutic, Phenotypic, Genetic, Environment properties |
WMAGT |
Graph Convolutional Network,Graph Transformer,Neural Collaborative Filtering,Multilayer Perceptron |
Drug Disease Association (DDA) |
https://github.com/ShiHHe/WMAGT |
Case studies |
Parkinson’s Disease (PD) |
NA |
NA |
NA |
Top 10 drugs |
38378479 |
BMC Bioinformatics |
2024 |
| 3 |
78.1 |
2203 |
Cdataset |
Drug, Disease |
Chemical, Pharmacological, Therapeutic, Phenotypic, Genetic, Environment properties |
WMAGT |
Graph Convolutional Network,Graph Transformer,Neural Collaborative Filtering,Multilayer Perceptron |
Drug Disease Association (DDA) |
https://github.com/ShiHHe/WMAGT |
Case studies |
Parkinson’s Disease (PD) |
NA |
NA |
NA |
Top 10 drugs |
38378479 |
BMC Bioinformatics |
2024 |
| 4 |
77.7 |
2133 |
Cdataset |
Drug, Disease |
NA |
DRAGNN |
Multi Layer Perception (MLP) |
Drug Disease Association (DDA) |
https://github.com/1yiw/DRAGNN |
Case studies |
Parkinson’s Disease (PD) |
NA |
NA |
NA |
Top 10 drugs |
38019732 |
Brief Bioinform |
2023 |
| 4 |
77.7 |
2133 |
LRSSL |
Drug, Disease |
NA |
DRAGNN |
Multi Layer Perception (MLP) |
Drug Disease Association (DDA) |
https://github.com/1yiw/DRAGNN |
Case studies |
Parkinson’s Disease (PD) |
NA |
NA |
NA |
Top 10 drugs |
38019732 |
Brief Bioinform |
2023 |
| 4 |
77.7 |
2133 |
Fdataset |
Drug, Disease |
NA |
DRAGNN |
Multi Layer Perception (MLP) |
Drug Disease Association (DDA) |
https://github.com/1yiw/DRAGNN |
Case studies |
Parkinson’s Disease (PD) |
NA |
NA |
NA |
Top 10 drugs |
38019732 |
Brief Bioinform |
2023 |
| 5 |
77.3 |
957 |
NA |
Drug, Disease, Target |
NA |
BiFusion (Bipartite graph convolution network) |
Graph Convolutional Network (GCN) |
Drug Disease Association (DDA) |
https://github.com/zcwang0702/BiFusion |
Case studies |
Parkinson’s Disease (PD) |
NA |
NA |
NA |
Top 10 drugs |
32657387 |
Bioinformatics |
2020 |
| 6 |
72.35 |
812 |
NA |
Drug, Disease, Target , Side-effect |
NA |
deepDR |
Multimodal deep autoencoder (MDA),Collective variational autoencoder (cVAE),Random Walk with Restart (RWR) |
Drug Disease Association (DDA) |
https://github.com/ChengF-Lab/deepDR |
Case studies |
Parkinson’s Disease (PD) |
NA |
NA |
NA |
Top 20 drugs |
31116390 |
Bioinformatics |
2019 |
| 6 |
72.35 |
812 |
External validation set |
NA |
NA |
deepDR |
Multimodal deep autoencoder (MDA),Collective variational autoencoder (cVAE),Random Walk with Restart (RWR) |
Drug Disease Association (DDA) |
https://github.com/ChengF-Lab/deepDR |
Case studies |
Parkinson’s Disease (PD) |
NA |
NA |
NA |
Top 20 drugs |
31116390 |
Bioinformatics |
2019 |
| 7 |
71.7 |
771 |
Fdataset |
Drug, Disease |
Drug: SMILES, Proten: the amino acid sequence, Diseases: MeSH terms |
RWHNDR (Random Walk on a Heterogeneous Network for Drug Repositioning) |
Random Walk |
Drug Disease Association (DDA) |
NA |
Case studies |
Parkinson’s Disease (PD) |
NA |
NA |
NA |
Top 5 drugs |
29994051 |
IEEE/ACM Trans Comput Biol Bioinform |
2019 |
| 8 |
71.2 |
997 |
NA |
Drug |
Drug: structure, distance, target |
CATNIP |
XGBoost |
Drug Drug Interaction (DDI) |
https://github.com/coryandar/CATNIP |
Case studies |
Parkinson’s Disease (PD) |
NA |
NA |
NA |
2 drugs |
32764756 |
PLoS Comput Biol |
2020 |
| 9 |
69.4 |
1769 |
NA |
Drug, Target, Pathway |
NA |
MSDF-CNN |
Graph Convolutional Network (GCN) |
Drug Target Interaction (DTI) |
https://github.com/lemonfino/MSDF-CNN |
Special studies |
Parkinson’s Disease (PD) |
HTR2A |
NA |
NA |
Top 10 drugs |
35897954 |
Molecules |
2022 |
| 10 |
64.6 |
2116 |
NA |
Drug |
Drug: SMILES |
NA |
Graph Convolutional Network (GCN),XGBoost |
Drug Target Interaction (DTI) |
NA |
Special studies |
Parkinson’s Disease (PD) |
PINK1 (Phosphatase and Tensin homologue-induced kinase 1) |
NA |
NA |
Top 22 drugs |
37544165 |
Comput Methods Programs Biomed |
2023 |