| 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 |
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 |
Alzheimer's disease (AD) |
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 |
Alzheimer's disease (AD) |
NA |
NA |
NA |
Top 10 drugs |
34378011 |
Brief Bioinform |
2021 |
| 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 |
Alzheimer's disease (AD) |
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 |
Alzheimer's disease (AD) |
NA |
NA |
NA |
Top 10 drugs |
34378011 |
Brief Bioinform |
2021 |
| 2 |
86.5 |
1868 |
Fdataset |
Drug, Disease |
Drug: SMILES, Disease: MeSH |
GLGMPNN |
Message Passing Neural Network (MPNN), Gated Fusion Mechanism |
Drug Disease Association (DDA) |
https://github.com/bdtree/GLGMPNN |
Case studies |
Alzheimer's Disease (AD) |
NA |
NA |
NA |
Top 10 drugs |
36305457 |
Brief Bioinform |
2022 |
| 2 |
86.5 |
1868 |
Cdataset |
Drug, Disease |
Drug: SMILES, Disease: MeSH |
GLGMPNN |
Message Passing Neural Network (MPNN), Gated Fusion Mechanism |
Drug Disease Association (DDA) |
https://github.com/bdtree/GLGMPNN |
Case studies |
Alzheimer's Disease (AD) |
NA |
NA |
NA |
Top 10 drugs |
36305457 |
Brief Bioinform |
2022 |
| 3 |
84.3 |
1807 |
NA |
Drug, Disease |
Drug: SMILES, Disease: Mesh semantic |
GCMM (Graph convolution network based on a multimodal attention mechanism) |
Convolutional Neural Network (CNN) |
Drug Disease Association (DDA) |
https://github.com/FanZhang0820/GCMM |
Case studies |
Alzheimer's Disease (AD) |
NA |
NA |
NA |
Top 5 drugs |
36100897 |
BMC Bioinformatics |
2022 |
| 4 |
81.9 |
2175 |
Ldataset |
Drug, Disease |
Drug: 2D chemical fingerprints, Diseases: The semantic similarity of disease phenotypes |
AdaDR (Adaptive Graph Convolutional Networks for Drug Repositioning) |
Adaptive Graph Convolutional Network (AGCN) |
Drug Disease Association (DDA) |
https://github.com/xinliangSun/AdaDR |
Case studies |
Alzheimer's Disease (AD) |
NA |
NA |
NA |
Top 5 drugs |
38070161 |
Bioinformatics |
2024 |
| 4 |
81.9 |
2175 |
Gdataset (Fdataset) |
Drug, Disease |
Drug: 2D chemical fingerprints, Diseases: The semantic similarity of disease phenotypes |
AdaDR (Adaptive Graph Convolutional Networks for Drug Repositioning) |
Adaptive Graph Convolutional Network (AGCN) |
Drug Disease Association (DDA) |
https://github.com/xinliangSun/AdaDR |
Case studies |
Alzheimer's Disease (AD) |
NA |
NA |
NA |
Top 5 drugs |
38070161 |
Bioinformatics |
2024 |
| 4 |
81.9 |
2175 |
Cdataset |
Drug, Disease |
Drug: 2D chemical fingerprints, Diseases: The semantic similarity of disease phenotypes |
AdaDR (Adaptive Graph Convolutional Networks for Drug Repositioning) |
Adaptive Graph Convolutional Network (AGCN) |
Drug Disease Association (DDA) |
https://github.com/xinliangSun/AdaDR |
Case studies |
Alzheimer's Disease (AD) |
NA |
NA |
NA |
Top 5 drugs |
38070161 |
Bioinformatics |
2024 |
| 4 |
81.9 |
2175 |
LRSSL |
Drug, Disease |
Drug: 2D chemical fingerprints, Diseases: The semantic similarity of disease phenotypes |
AdaDR (Adaptive Graph Convolutional Networks for Drug Repositioning) |
Adaptive Graph Convolutional Network (AGCN) |
Drug Disease Association (DDA) |
https://github.com/xinliangSun/AdaDR |
Case studies |
Alzheimer's Disease (AD) |
NA |
NA |
NA |
Top 5 drugs |
38070161 |
Bioinformatics |
2024 |
| 5 |
77.25 |
739 |
Fdataset |
Drug, Disease |
Drug: Fingerprint, Diseases: MeSH terms |
GIPAE (Gaussian interaction profile kernel and autoencoder) |
Deep Autoencoder,Support Vector Machine (SVM) |
Drug Disease Association (DDA) |
https://github.com/HanJingJiang/GIPAE |
Case studies |
Alzheimer's Disease (AD) |
NA |
NA |
NA |
Top 20 drug |
31534955 |
Biomed Res Int |
2019 |
| 5 |
77.25 |
739 |
Cdataset |
Drug, Disease |
Drug: Fingerprint, Diseases: MeSH terms |
GIPAE (Gaussian interaction profile kernel and autoencoder) |
Deep Autoencoder,Support Vector Machine (SVM) |
Drug Disease Association (DDA) |
https://github.com/HanJingJiang/GIPAE |
Case studies |
Alzheimer's Disease (AD) |
NA |
NA |
NA |
Top 20 drug |
31534955 |
Biomed Res Int |
2019 |
| 6 |
76 |
320 |
Fdataset |
Drug, Disease |
Drug: SMILES, Diseases: MeSH terms |
TP-NRWRH |
Random Walk with Restart (RWR) |
Drug Disease Association (DDA) |
https://github.com/td1799/TP-NRWRH |
Case studies |
Alzheimer's Disease (AD) |
NA |
NA |
NA |
Top 10 drugs |
28155639 |
BMC Bioinformatics |
2016 |
| 6 |
76 |
320 |
Cdataset |
Drug, Disease |
Drug: SMILES, Diseases: MeSH terms |
TP-NRWRH |
Random Walk with Restart (RWR) |
Drug Disease Association (DDA) |
https://github.com/td1799/TP-NRWRH |
Case studies |
Alzheimer's Disease (AD) |
NA |
NA |
NA |
Top 10 drugs |
28155639 |
BMC Bioinformatics |
2016 |
| 7 |
74.9 |
1623 |
NA |
Drug |
Drug: chemical structures, Target: protein sequence |
DOTA (Drug repositioning approach using Optimal Transport for Alzheimer's disease) |
Deep Autoencoder (Multi-modal,Wasserstein variational) |
Drug Disease Association (DDA) |
https://github.com/fawer/DOTA |
Special studies |
Alzheimer's Disease (AD) |
NA |
NA |
NA |
Top 20 drugs |
35204697 |
Biomolecules |
2022 |
| 8 |
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 |
Alzheimer's Disease (AD) |
NA |
NA |
NA |
Top 20 drugs |
31116390 |
Bioinformatics |
2019 |
| 8 |
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 |
Alzheimer's Disease (AD) |
NA |
NA |
NA |
Top 20 drugs |
31116390 |
Bioinformatics |
2019 |
| 9 |
72.3 |
125 |
NA |
Drug, Disease |
Drug: structure chemical, target, side-effect; Diseases: disease phenotypes, disease ontology, disease genes |
DDR |
Block Coordinate Descent (BCD) |
Drug Disease Association (DDA) |
NA |
Case studies |
Alzheimer's Disease (AD) |
NA |
NA |
NA |
Top 10 drugs |
25954437 |
AMIA Annu Symp Proc |
2014 |
| 10 |
72.1 |
2022 |
HetioNet |
Drug, Disease, Gene, Pathway |
Drug: ATC, Disease: MeSH |
DREAMwalk |
Multi-layer random walk |
Drug Disease Association (DDA) |
https://github.com/eugenebang/DREAMwalk |
Case studies |
Alzheimer's Disease (AD) |
NA |
NA |
NA |
Top 10 drugs |
37322032 |
Nat Commun |
2023 |
| 10 |
72.1 |
2022 |
KEGG |
Drug, Disease, Gene, Pathway |
Drug: ATC, Disease: MeSH |
DREAMwalk |
Multi-layer random walk |
Drug Disease Association (DDA) |
https://github.com/eugenebang/DREAMwalk |
Case studies |
Alzheimer's Disease (AD) |
NA |
NA |
NA |
Top 10 drugs |
37322032 |
Nat Commun |
2023 |
| 10 |
72.1 |
2022 |
Multi-scale interactome (MSI) network |
Drug, Disease, Gene |
Drug: ATC, Disease: MeSH |
DREAMwalk |
Multi-layer random walk |
Drug Disease Association (DDA) |
https://github.com/eugenebang/DREAMwalk |
Case studies |
Alzheimer's Disease (AD) |
NA |
NA |
NA |
Top 10 drugs |
37322032 |
Nat Commun |
2023 |
| 11 |
70.8 |
1516 |
Zhang's book |
Drug, Disease |
Drug: chemical structure, side-effect; Disease: UMLS |
DRDA |
Deep Autoencoder,Adaptive Fusion |
Drug Disease Association (DDA) |
NA |
Case studies |
Alzheimer's Disease (AD) |
NA |
NA |
NA |
Top 10 drugs |
34717542 |
BMC Bioinformatics |
2021 |
| 11 |
70.8 |
1516 |
Zhang's book |
Drug, Target |
Drug: chemical structure, side-effect; Disease: UMLS |
DRDA |
Deep Autoencoder,Adaptive Fusion |
Drug Disease Association (DDA) |
NA |
Case studies |
Alzheimer's Disease (AD) |
NA |
NA |
NA |
Top 10 drugs |
34717542 |
BMC Bioinformatics |
2021 |
| 11 |
70.8 |
1516 |
Zhang's book |
Side-effect |
Drug: chemical structure, side-effect; Disease: UMLS |
DRDA |
Deep Autoencoder,Adaptive Fusion |
Drug Disease Association (DDA) |
NA |
Case studies |
Alzheimer's Disease (AD) |
NA |
NA |
NA |
Top 10 drugs |
34717542 |
BMC Bioinformatics |
2021 |
| 12 |
70.4 |
1866 |
Fdataset |
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 |
| 12 |
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 |
| 12 |
70.4 |
1866 |
Cdataset |
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 |
| 13 |
68.9 |
2098 |
NA |
Drug, Disease, Target, miRNA |
NA |
MTLDR (Multi-task learning framework for drug repurposing) |
Graph Convolutional Network (GCN) |
Drug Disease Association (DDA) |
NA |
Case studies |
Alzheimer's Disease (AD) |
NA |
NA |
NA |
Top 10 drugs |
37516260 |
Methods |
2023 |
| 14 |
68.8 |
2167 |
OpenBioLink |
Drug, Disease, Target |
NA |
MPTN |
CompGCN,Transformer,InteractE |
Drug Disease Association (DDA) |
NA |
Case studies |
Alzheimer's Disease (AD) |
NA |
NA |
NA |
Top 10 drugs |
38043469 |
Comput Biol Med |
2024 |
| 14 |
68.8 |
2167 |
GP-KG |
Drug, Disease, Gene |
NA |
MPTN |
CompGCN,Transformer,InteractE |
Drug Disease Association (DDA) |
NA |
Case studies |
Alzheimer's Disease (AD) |
NA |
NA |
NA |
Top 10 drugs |
38043469 |
Comput Biol Med |
2024 |
| 15 |
66.2 |
386 |
Yamanishi_IC |
Drug, Target |
Drug: molecule, Target: target sequence |
PUDTI |
Support Vector Machine (SVM) |
Drug Target Interaction (DTI) |
NA |
Case studies |
Alzheimer's Disease (AD) |
(D(1A), D(2) and D3 dopamine receptors (P21728, P14416 and P35462), alpha-1A and alpha-1B adrenergic receptor (P35348 and P35368), 5-hydroxytryptamine receptors (P28223) and potassium voltage-gated channel subfamily H member 2(Q12809) |
NA |
NA |
NA |
28808275 |
Sci Rep |
2017 |
| 15 |
66.2 |
386 |
Yamanishi_GPCR |
Drug, Target |
Drug: molecule, Target: target sequence |
PUDTI |
Support Vector Machine (SVM) |
Drug Target Interaction (DTI) |
NA |
Case studies |
Alzheimer's Disease (AD) |
(D(1A), D(2) and D3 dopamine receptors (P21728, P14416 and P35462), alpha-1A and alpha-1B adrenergic receptor (P35348 and P35368), 5-hydroxytryptamine receptors (P28223) and potassium voltage-gated channel subfamily H member 2(Q12809) |
NA |
NA |
NA |
28808275 |
Sci Rep |
2017 |
| 15 |
66.2 |
386 |
Yamanishi_NR |
Drug, Target |
Drug: molecule, Target: target sequence |
PUDTI |
Support Vector Machine (SVM) |
Drug Target Interaction (DTI) |
NA |
Case studies |
Alzheimer's Disease (AD) |
(D(1A), D(2) and D3 dopamine receptors (P21728, P14416 and P35462), alpha-1A and alpha-1B adrenergic receptor (P35348 and P35368), 5-hydroxytryptamine receptors (P28223) and potassium voltage-gated channel subfamily H member 2(Q12809) |
NA |
NA |
NA |
28808275 |
Sci Rep |
2017 |
| 15 |
66.2 |
386 |
Yamanishi_E |
Drug, Target |
Drug: molecule, Target: target sequence |
PUDTI |
Support Vector Machine (SVM) |
Drug Target Interaction (DTI) |
NA |
Case studies |
Alzheimer's Disease (AD) |
(D(1A), D(2) and D3 dopamine receptors (P21728, P14416 and P35462), alpha-1A and alpha-1B adrenergic receptor (P35348 and P35368), 5-hydroxytryptamine receptors (P28223) and potassium voltage-gated channel subfamily H member 2(Q12809) |
NA |
NA |
NA |
28808275 |
Sci Rep |
2017 |
| 16 |
64.8 |
1814 |
NA |
Drug, chemical |
NA |
NA |
Knowledge Graph Embedding |
Drug Disease Association (DDA) |
NA |
Special studies |
Alzheimer's Disease (AD) |
NA |
NA |
NA |
Top 10 drugs |
36180861 |
BMC Bioinformatics |
2022 |
| 17 |
58.5 |
1322 |
NA |
Drug, Gene |
NA |
NA |
Deep Autoencoder,XGBoost |
Drug Target Interaction (DTI) |
https://github.com/tsjshg/ai-drug-dev |
Special studies |
Alzheimer's Disease (AD) |
NA |
NA |
NA |
Top 20 drugs |
33941241 |
Alzheimers Res Ther |
2021 |