| 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 |
91.9 |
2042 |
NA |
Drug, Disease, Target |
Drug: SMILES, Target: the amino acid sequences |
VGAEDTI |
Random Forest (RF),Variational Graph AutoEncoder (VGAE),Graph AutoEncoder (GAE) |
Drug Target Interaction (DTI) |
https://github.com/FengYinFei/VGAEDTI |
Case studies |
NA |
NA |
NA |
Drug target interaction |
Top 15 drugs |
37415176 |
BMC Bioinformatics |
2023 |
| 2 |
85.4 |
815 |
NA |
Drug, Disease, Target |
Drug: SMILES, Disease: MeSH |
OMC |
Overlap Matrix Completion |
Drug Disease Association (DDA) |
https://github.com/BioinformaticsCSU/OMC |
Case studies |
NA |
NA |
Levodopa |
NA |
Top 5 diseases |
31869322 |
PLoS Comput Biol |
2019 |
| 2 |
85.4 |
815 |
NA |
Drug, Disease, Target |
Drug: SMILES, Disease: MeSH |
OMC |
Overlap Matrix Completion |
Drug Disease Association (DDA) |
https://github.com/BioinformaticsCSU/OMC |
Case studies |
NA |
NA |
Doxorubicin |
NA |
Top 5 diseases |
31869322 |
PLoS Comput Biol |
2019 |
| 2 |
85.4 |
815 |
NA |
Drug, Disease, Target |
Drug: SMILES, Disease: MeSH |
OMC |
Overlap Matrix Completion |
Drug Disease Association (DDA) |
https://github.com/BioinformaticsCSU/OMC |
Case studies |
NA |
NA |
Flecainide |
NA |
Top 5 diseases |
31869322 |
PLoS Comput Biol |
2019 |
| 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 |
83 |
1613 |
NA |
Drug, Disease |
Drug: Chemical substructures, the target domains and the gene ontology annotations of target target, Disease: MeSH |
CTST |
Graph Convolutional Network (GCN) |
Drug Disease Association (DDA) |
NA |
Case studies |
NA |
NA |
Chloroquine |
NA |
Top 10 diseases |
34850815 |
Brief Bioinform |
2022 |
| 4 |
83 |
1613 |
NA |
Drug, Disease |
Drug: Chemical substructures, the target domains and the gene ontology annotations of target target, Disease: MeSH |
CTST |
Graph Convolutional Network (GCN) |
Drug Disease Association (DDA) |
NA |
Case studies |
NA |
NA |
Flurbiprofen |
NA |
Top 10 diseases |
34850815 |
Brief Bioinform |
2022 |
| 4 |
83 |
1613 |
NA |
Drug, Disease |
Drug: Chemical substructures, the target domains and the gene ontology annotations of target target, Disease: MeSH |
CTST |
Graph Convolutional Network (GCN) |
Drug Disease Association (DDA) |
NA |
Case studies |
NA |
NA |
Metoprolol |
NA |
Top 10 diseases |
34850815 |
Brief Bioinform |
2022 |
| 4 |
83 |
1613 |
NA |
Drug, Disease |
Drug: Chemical substructures, the target domains and the gene ontology annotations of target target, Disease: MeSH |
CTST |
Graph Convolutional Network (GCN) |
Drug Disease Association (DDA) |
NA |
Case studies |
NA |
NA |
Propranolol |
NA |
Top 10 diseases |
34850815 |
Brief Bioinform |
2022 |
| 4 |
83 |
1613 |
NA |
Drug, Disease |
Drug: Chemical substructures, the target domains and the gene ontology annotations of target target, Disease: MeSH |
CTST |
Graph Convolutional Network (GCN) |
Drug Disease Association (DDA) |
NA |
Case studies |
NA |
NA |
Aripiprazole |
NA |
Top 10 diseases |
34850815 |
Brief Bioinform |
2022 |
| 5 |
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 |
| 5 |
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 |
Brain neoplasms |
NA |
NA |
NA |
Top 10 drugs |
36182762 |
Comput Biol Med |
2022 |
| 5 |
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 |
NA |
NA |
Dexamethasone |
NA |
Top 10 diseases |
36182762 |
Comput Biol Med |
2022 |
| 5 |
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 |
NA |
NA |
Ifosfamide |
NA |
Top 10 diseases |
36182762 |
Comput Biol Med |
2022 |
| 6 |
81 |
2099 |
NA |
Drug, Disease, Target, Side-effect |
Drug: SMILES, Target: the amino acid sequences |
MOVE |
Multi Layer Perception (MLP) |
Drug Target Interaction (DTI) |
https://github.com/scu-kdde/Bioinfo-MOVE2.0 |
Case studies |
COVID-19 |
Peroxisome proliferator-activated receptor gamma(P37231), Peroxisome proliferator-activated receptor alpha(Q07869), Apoptosis regulator Bcl-2(P10415), Angiotensin-converting enzyme 2(Q9BYF1), Cystic fibrosis transmembrane conductance regulator(P13569), Nuclear receptor subfamily 1 group I member 2(O75469), Annexin A1(P04083) |
NA |
NA |
Top 7 drugs |
37586602 |
Methods |
2023 |
| 7 |
80.5 |
393 |
NA |
Drug, Disease, Target , Side-effect |
Drug: chmical structure, Target: genome sequences |
DTINet |
Random Walk with Restart (RWR) |
Drug Target Interaction (DTI) |
https://github.com/luoyunan/DTINet |
Case studies |
NA |
COX proteins |
NA |
NA |
3 drugs |
28924171 |
Nat Commun |
2017 |
| 8 |
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 |
NA |
Clozapine |
NA |
NA |
Top 10 diseases |
34891172 |
Brief Bioinform |
2022 |
| 8 |
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 |
| 9 |
77.875 |
509 |
NA |
Drug, Disease |
Drug: substructures, Disease: MeSH |
NTSIM (Network Topological Similarity-based Inference Method) |
Label Propagation |
Drug Disease Association (DDA) |
NA |
Case studies |
NA |
NA |
Risperidone |
NA |
Top 10 diseases |
29879508 |
Methods |
2018 |
| 10 |
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 |
| 10 |
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 |
Breast carcinoma |
NA |
NA |
NA |
Top 5 drugs |
32657387 |
Bioinformatics |
2020 |
| 11 |
77.2 |
949 |
NA |
Drug, Disease, Target |
Drug: SMILES, Target: target sequence data in FASTA format Disease: MeSH |
TS-SVD |
Random Forest (RF) |
Drug Disease Association (DDA) |
NA |
Case studies |
Non-Small Cell Lung Cancer (NSCLC) |
NA |
NA |
NA |
Top 10 drugs |
32340956 |
IEEE Trans Nanobioscience |
2020 |
| 12 |
76.6 |
1691 |
NA |
Drug, Target |
Drug: SMILES, Target: amino-acid sequences |
NA |
Convolutional Neural Network (CNN),Deep Neural Network (DNN),Random Forest (RF) |
Drug Target Interaction (DTI) |
https://github.com/Shkev/Sars-CoV-2-NSP-Predictions |
Case studies |
NA |
NA |
NA |
Drug target interaction |
13 predictions |
35468672 |
Front Biosci (Landmark Ed) |
2022 |
| 13 |
76.1 |
1487 |
NA |
Drug, Gene |
NA |
GraphRepur |
Graph Neural Network (GNN) |
Drug Disease Association (DDA) |
https://github.com/cckamy/GraphRepur |
Case studies |
Breast cancer |
NA |
NA |
NA |
Top 30 drugs |
33739367 |
Bioinformatics |
2021 |
| 13 |
76.1 |
298 |
NA |
Compound, Target |
Compound: SMILES, Target: Sequence |
REMAP |
Dual Regularized One-Class Collaborative Filtering |
Compound Protein Interaction (CPI) |
https://github.com/hansaimlim/REMAP |
Case studies |
Many types of cancer |
NA |
NA |
NA |
Top 7 drugs |
27716836 |
PLoS Comput Biol |
2016 |
| 14 |
76 |
1578 |
NA |
Drug, Target |
Drug: chemical structures, Target: primary sequence |
GANDTI |
Generative Adversarial Network (GAN),Graph convolutional autoencoder |
Drug Target Interaction (DTI) |
NA |
Case studies |
NA |
NA |
Olanzapine |
NA |
Top 10 targets |
32750854 |
IEEE/ACM Trans Comput Biol Bioinform |
2022 |
| 14 |
76 |
1578 |
NA |
Drug, Target |
Drug: chemical structures, Target: primary sequence |
GANDTI |
Generative Adversarial Network (GAN),Graph convolutional autoencoder |
Drug Target Interaction (DTI) |
NA |
Case studies |
NA |
NA |
Aripiprnazole |
NA |
Top 10 targets |
32750854 |
IEEE/ACM Trans Comput Biol Bioinform |
2022 |
| 14 |
76 |
1578 |
NA |
Drug, Target |
Drug: chemical structures, Target: primary sequence |
GANDTI |
Generative Adversarial Network (GAN),Graph convolutional autoencoder |
Drug Target Interaction (DTI) |
NA |
Case studies |
NA |
NA |
Ziprasidone |
NA |
Top 10 targets |
32750854 |
IEEE/ACM Trans Comput Biol Bioinform |
2022 |
| 14 |
76 |
1578 |
NA |
Drug, Target |
Drug: chemical structures, Target: primary sequence |
GANDTI |
Generative Adversarial Network (GAN),Graph convolutional autoencoder |
Drug Target Interaction (DTI) |
NA |
Case studies |
NA |
NA |
Quetiapine |
NA |
Top 10 targets |
32750854 |
IEEE/ACM Trans Comput Biol Bioinform |
2022 |
| 14 |
76 |
1578 |
NA |
Drug, Target |
Drug: chemical structures, Target: primary sequence |
GANDTI |
Generative Adversarial Network (GAN),Graph convolutional autoencoder |
Drug Target Interaction (DTI) |
NA |
Case studies |
NA |
NA |
Clozapine |
NA |
Top 10 targets |
32750854 |
IEEE/ACM Trans Comput Biol Bioinform |
2022 |
| 15 |
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 |
| 16 |
74.3 |
694 |
NA |
Drug, Target |
Drug: Chemical structure, Target: target sequence |
LASSO |
Deep Neural Network (DNN) |
Drug Target Interaction (DTI) |
NA |
Case studies |
Breast Cancer |
NA |
NA |
NA |
Top 5 drugs |
30939415 |
Comput Biol Chem |
2019 |
| 17 |
73.7 |
1366 |
NA |
Drug, Target |
Molecular descriptors |
NA |
Random Forest (RF) |
Drug Disease Association (DDA) |
https://github.com/sblab/DTN |
Special studies |
Hyperlipidemia |
NA |
NA |
NA |
Top 9 drugs |
34030115 |
Comput Biol Chem |
2021 |
| 18 |
72.95 |
2134 |
NA |
Drug |
Drug: SMILES |
NA |
Graph Attention Network (GAT),Graph Isomorphism Network (GIN) |
Drug Target binding Affinity (DTA) |
NA |
Special studies |
COVID-19 |
SARS-CoV-2 main protease (Mpro) |
NA |
NA |
Top 10 drugs |
37960886 |
J Chem Inf Model |
2023 |
| 19 |
72.5 |
741 |
NA |
Drug, Target |
Drug: structure, Target: sequence |
NA |
Low Rank Embedding (LRE) |
Drug Target Interaction (DTI) |
NA |
Case studies |
NA |
NA |
NA |
Drug target interaction |
Top 30 predictions |
28541222 |
IEEE/ACM Trans Comput Biol Bioinform |
2019 |
| 19 |
72.5 |
764 |
NA |
Drug, Target |
Drug: structure, Target: sequence |
MCM |
Matrix Completion |
Drug Target Interaction (DTI) |
NA |
Case studies |
NA |
NA |
NA |
Drug target interaction |
Top 26 predictions |
31538961 |
IET Syst Biol |
2019 |
| 20 |
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 |
| 20 |
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 |
| 21 |
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 |
| 21 |
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 |
Systemic Lupus Erythematosus (SLE) |
NA |
NA |
NA |
Top 10 drugs |
25954437 |
AMIA Annu Symp Proc |
2014 |
| 22 |
72.15 |
2125 |
NA |
Drug, Target, Pathway, Phenotype |
NA |
BEHOR |
Graph Neural Network (GNN) |
Drug Disease Association (DDA) |
https://zenodo.org/record/8402843 |
Case studies |
Rheumatoid arthritis |
NA |
NA |
NA |
Top 2 drugs |
37925215 |
Artif Intell Med |
2023 |
| 22 |
72.15 |
2125 |
NA |
Drug, Target, Pathway, Phenotype |
NA |
BEHOR |
Graph Neural Network (GNN) |
Drug Disease Association (DDA) |
https://zenodo.org/record/8402843 |
Case studies |
Left ventricular hypertrophy |
NA |
NA |
NA |
Top 1 drug |
37925215 |
Artif Intell Med |
2023 |
| 22 |
72.15 |
2125 |
NA |
Drug, Target, Pathway, Phenotype |
NA |
BEHOR |
Graph Neural Network (GNN) |
Drug Disease Association (DDA) |
https://zenodo.org/record/8402843 |
Case studies |
Congestive heart failure |
NA |
NA |
NA |
Top 2 drugs |
37925215 |
Artif Intell Med |
2023 |
| 23 |
72.1 |
1244 |
NA |
Drug, Disease |
Drug: chemical structural, |
CMLDR |
Collaborative metric learning algorithm |
Drug Disease Association (DDA) |
NA |
Case studies |
NA |
NA |
Risperidone |
NA |
Top 20 diseases |
31283509 |
IEEE/ACM Trans Comput Biol Bioinform |
2021 |
| 23 |
72.1 |
1244 |
NA |
Drug, Disease |
Drug: chemical structural, |
CMLDR |
Collaborative metric learning algorithm |
Drug Disease Association (DDA) |
NA |
Case studies |
NA |
NA |
Cyclophosphamide |
NA |
Top 20 diseases |
31283509 |
IEEE/ACM Trans Comput Biol Bioinform |
2021 |
| 24 |
71.75 |
424 |
NA |
Drug, Disease, Gene |
Drug: SMILES, Disease: MeSH |
SSGC (Semi-Supervised Graph Cut) |
Semi-supervised graph cut |
Drug Disease Association (DDA) |
NA |
Case studies |
Non-Small Cell Lung Cancer (NSCLC) |
NA |
NA |
NA |
Top 20 drugs |
29297383 |
BMC Med Genomics |
2017 |
| 24 |
71.75 |
424 |
NA |
Drug, Disease, Gene |
Drug: SMILES, Disease: MeSH |
SSGC (Semi-Supervised Graph Cut) |
Semi-supervised graph cut |
Drug Disease Association (DDA) |
NA |
Case studies |
Alcohol dependence |
NA |
NA |
NA |
Top 20 drugs |
29297383 |
BMC Med Genomics |
2017 |
| 24 |
71.75 |
424 |
NA |
Drug, Disease, Gene |
Drug: SMILES, Disease: MeSH |
SSGC (Semi-Supervised Graph Cut) |
Semi-supervised graph cut |
Drug Disease Association (DDA) |
NA |
Case studies |
Small Cell Lung Cancer (SCLC) |
NA |
NA |
NA |
Top 20 drugs |
29297383 |
BMC Med Genomics |
2017 |
| 24 |
71.75 |
424 |
NA |
Drug, Disease, Gene |
Drug: SMILES, Disease: MeSH |
SSGC (Semi-Supervised Graph Cut) |
Semi-supervised graph cut |
Drug Disease Association (DDA) |
NA |
Case studies |
Huntington Disease (HD) |
NA |
NA |
NA |
Top 20 drugs |
29297383 |
BMC Med Genomics |
2017 |
| 25 |
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 |
| 25 |
71.2 |
997 |
NA |
Drug |
Drug: structure, distance, target |
CATNIP |
XGBoost |
Drug Drug Interaction (DDI) |
https://github.com/coryandar/CATNIP |
Case studies |
Type 2 Diabetes Mellitus (T2DM) |
NA |
NA |
NA |
1 drug |
32764756 |
PLoS Comput Biol |
2020 |
| 26 |
70.1 |
789 |
NA |
Drug, Disease |
Drug: SMILES, Diseases: MeSH terms |
NA |
Non-linear computational approach |
Drug Disease Association (DDA) |
http://bioinformatics.aut.ac.ir/drug-disc/ (Data) |
Case studies |
NA |
NA |
NA |
Drug disease interaction |
Top 16 predictions |
31726977 |
BMC Bioinformatics |
2019 |
| 27 |
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 |
| 28 |
69.38 |
122 |
NA |
Drug, Disease, Target |
Drug: SMILES, Target: target sequence, Disease: MeSH terms |
TL_HGBI (Triple Layer Heterogeneous Graph Based Inference) |
Heterogeneous Graph Based Inference (HGBI) |
Drug Disease Association (DDA) |
NA |
Case studies |
Small Cell Lung Cancer (SCLC) |
NA |
NA |
NA |
Top 10 drugs |
24974205 |
Bioinformatics |
2014 |
| 28 |
69.38 |
122 |
NA |
Drug, Disease, Target |
Drug: SMILES, Target: target sequence, Disease: MeSH terms |
TL_HGBI (Triple Layer Heterogeneous Graph Based Inference) |
Heterogeneous Graph Based Inference (HGBI) |
Drug Disease Association (DDA) |
NA |
Case studies |
Polysubstance abuse |
NA |
NA |
NA |
Top 10 drugs |
24974205 |
Bioinformatics |
2014 |
| 28 |
69.38 |
122 |
NA |
Drug, Disease, Target |
Drug: SMILES, Target: target sequence, Disease: MeSH terms |
TL_HGBI (Triple Layer Heterogeneous Graph Based Inference) |
Heterogeneous Graph Based Inference (HGBI) |
Drug Disease Association (DDA) |
NA |
Case studies |
Huntington Disease (HD) |
NA |
NA |
NA |
Top 10 drugs |
24974205 |
Bioinformatics |
2014 |
| 28 |
69.38 |
122 |
NA |
Drug, Disease, Target |
Drug: SMILES, Target: target sequence, Disease: MeSH terms |
TL_HGBI (Triple Layer Heterogeneous Graph Based Inference) |
Heterogeneous Graph Based Inference (HGBI) |
Drug Disease Association (DDA) |
NA |
Case studies |
Non-Small Cell Lung Cancer (NSCLC) |
NA |
NA |
NA |
Top 10 drugs |
24974205 |
Bioinformatics |
2014 |
| 28 |
69.38 |
122 |
NA |
Drug, Disease, Target |
Drug: SMILES, Target: target sequence, Disease: MeSH terms |
TL_HGBI (Triple Layer Heterogeneous Graph Based Inference) |
Heterogeneous Graph Based Inference (HGBI) |
Drug Disease Association (DDA) |
NA |
Case studies |
Alcohol dependence |
NA |
NA |
NA |
Top 10 drugs |
24974205 |
Bioinformatics |
2014 |
| 29 |
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 |
Tourette's Syndrome |
NA |
NA |
NA |
Top 10 drugs |
37516260 |
Methods |
2023 |
| 29 |
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 |
| 30 |
68.5 |
1768 |
NA |
Drug, Disease, Target |
NA |
NTD-DR |
Nonnegative tensor decomposition |
Drug Disease Association (DDA) |
https://github.com/AliJam82/NTD-DR |
Case studies |
Breast ductal carcinoma, Prostate cancer, Pancreatic neoplasms, Colorectal neoplasms, Small cell lung carcinoma |
NA |
NA |
NA |
Top 50 drugs |
35862409 |
PLoS One |
2022 |
| 30 |
68.5 |
672 |
NA |
Gene, Celllines |
NA |
NA |
Deep neural Network (DNN),Support Vector Machine (SVM),Random Forest (RF),Gradient Boosted Machine with trees (GBM),logistic regression with elastic net regularization (EN) |
Drug Disease Association (DDA) |
NA |
Special studies |
Depressive Disorder |
NA |
NA |
NA |
Top 8 drugs |
30010603 |
IEEE J Biomed Health Inform |
2019 |
| 30 |
68.5 |
672 |
NA |
Gene, Celllines |
NA |
NA |
Deep neural Network (DNN),Support Vector Machine (SVM),Random Forest (RF),Gradient Boosted Machine with trees (GBM),logistic regression with elastic net regularization (EN) |
Drug Disease Association (DDA) |
NA |
Special studies |
Schizophrenia |
NA |
NA |
NA |
Top 8 drugs |
30010603 |
IEEE J Biomed Health Inform |
2019 |
| 31 |
68.2 |
192 |
NA |
Drug, Disease |
Disease: Phenotypic terms |
PhenoPredict |
The iterative network-based ranking algorithm |
Drug Disease Association (DDA) |
NA |
Special studies |
Schizophrenia |
NA |
NA |
NA |
Top 20 drugs |
26151312 |
J Biomed Inform |
2015 |
| 32 |
68.1 |
467 |
NA |
Drug, Target, Side-effect |
Drug: chemical properties, target targets, side-effect |
NA |
Pareto dominance,Collaborative filtering |
Drug Disease Association (DDA) |
NA |
NA |
NA |
NA |
NA |
Drug disease interaction |
Top 20 predictions |
29649971 |
BMC Bioinformatics |
2018 |
| 33 |
67.8 |
2015 |
NA |
Drug, Gene |
NA |
DTSEA (Drug Target Set Enrichment Analysis) |
Random Walk with Restart (RWR) |
Drug Disease Association (DDA) |
https://github.com/hanjunwei-lab/DTSEAData |
Special studies |
COVID-19 |
NA |
NA |
NA |
Top 10 drugs |
37105108 |
Comput Biol Med |
2023 |
| 34 |
67.3 |
1836 |
NA |
Drug, Target |
Drug: Fingerprint, |
KUALA (Kinase drUgs mAchine Learning frAmework) |
Naïve Bayes (NB),Logistic regression (LR),Support Vector Machine (SVM),Decision Tree (DT),Random Forest (RF),Neural Network (NNet),eXtreme Gradient Boosting (XGBoost),K-Nearest Neighbour (K-NN),Classification and Regression Tree (CART),Least Absolute Shrinkage and Selection Operator (LASSO),Ridge Regression (RIDGE),Elastic net regression (ELNET) |
Drug Target Interaction (DTI) |
https://github.com/molinfrimed/multi-kinases |
Case studies |
NA |
Kinases |
NA |
Drug target interaction |
5 pedictions |
36284125 |
Sci Rep |
2022 |
| 35 |
67 |
1021 |
NA |
Drug, Disease, miRNA |
Drug: chemical structure, side-effect, functional consistency; miRNA: target genes, disease targets; Disease: MeSH |
BIMC |
Bilateral-inductive matrix completion (BIMC) |
Drug Disease Association (DDA) |
https://github.com/Deepthi-K523/BIMC |
Case studies |
NA |
NA |
Aminolevulinic acid |
NA |
Top 10 diseases |
32583015 |
Mol Genet Genomics |
2020 |
| 35 |
67 |
1021 |
NA |
Drug, Disease, miRNA |
Drug: chemical structure, side-effect, functional consistency; miRNA: target genes, disease targets; Disease: MeSH |
BIMC |
Bilateral-inductive matrix completion (BIMC) |
Drug Disease Association (DDA) |
https://github.com/Deepthi-K523/BIMC |
Case studies |
NA |
NA |
Almitrine |
NA |
Top 10 diseases |
32583015 |
Mol Genet Genomics |
2020 |
| 36 |
65.5 |
2087 |
NA |
Drug, Disease, Target, Side-effect |
Drug: SMILES, Target: the amino acid sequences |
BG-DTI |
Convolutional Neural Network (CNN),Graph Neural Network (GNN),Graph Attention Network (GAT),Support Vector Machine (SVM) |
Drug Target Interaction (DTI) |
https://github.com/wyx2012/BG-DTI |
NA |
NA |
NA |
NA |
NA |
NA |
37764321 |
Molecules |
2023 |
| 37 |
64.9 |
1306 |
NA |
Drug, Virus |
Drug: chemical structure, Virus: d2* dissimilarity/distance (at k=6) between the viral genome sequences |
DVA (Drug Virus Association) |
Matrix Completion |
Drug Virus Association (DVA) |
www.github.com/AanchalMongia/DVA |
Case studies |
COVID-19 |
SARS-CoV-2 |
NA |
NA |
Top 6 drugs |
33907209 |
Sci Rep |
2021 |
| 38 |
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 |
| 39 |
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 |
| 40 |
63.7 |
1856 |
NA |
Drug, Disease, Target, Side-effect |
NA |
DTI-GTN |
Graph Transformer Network |
Drug Target Interaction (DTI) |
https://github.com/q498756498/DTI-GTN |
Case studies |
NA |
HTR1A |
NA |
NA |
Top 4 drugs |
36329406 |
BMC Bioinformatics |
2022 |
| 40 |
63.7 |
1856 |
NA |
Drug, Disease, Target, Side-effect |
NA |
DTI-GTN |
Graph Transformer Network |
Drug Target Interaction (DTI) |
https://github.com/q498756498/DTI-GTN |
Case studies |
NA |
CHRM3 |
NA |
NA |
Top 2 drugs |
36329406 |
BMC Bioinformatics |
2022 |
| 41 |
63.2 |
356 |
NA |
Drug, Disease, Target |
NA |
Heter-LP |
Heterogeneous label propagation |
Drug Target Interaction (DTI),Drug Disease Association (DDA) |
NA |
Case studies |
Osteoarthritis with mild chondrodysplasia |
NA |
NA |
NA |
2 drugs |
28300647 |
J Biomed Inform |
2017 |
| 42 |
62.9 |
36 |
NA |
Drug, Disease, Target, Gene, Pathway |
NA |
CauseNet |
Computing transition weights |
Drug Disease Association (DDA) |
NA |
Case studies |
Crohn's disease (CD) |
NA |
NA |
NA |
Top 5 drugs |
24564553 |
BMC Bioinformatics |
2013 |
| 43 |
62.5 |
1072 |
NA |
Drug, Disease, Target, Pathway, Therapeutic classes |
NA |
NMTF (Non-negative Matrix Tri-Factorization) |
Matrix Factorization |
Drug Target Interaction (DTI) |
https://github.com/DEIB-GECO/NMTF-DrugRepositioning |
Case studies |
NA |
NA |
NA |
Drug disease interaction |
Top 5 predictions |
32365039 |
IEEE J Biomed Health Inform |
2020 |
| 44 |
61.8 |
1096 |
NA |
Drug, Target |
Drug: SMILES, Target: sequence |
DLDTI |
Representation learning,Convolutional Neural Network (CNN) |
Drug Target Interaction (DTI) |
https://github.com/CUMTzackGit/DLDTI |
Case studies |
Atherosclerosis |
NA |
Tetramethylpyrazine |
NA |
288 targets |
33187537 |
J Transl Med |
2020 |
| 45 |
60.1 |
1867 |
NA |
Drug, Target |
Drug: SMILES, Disease: MeSH, Target: sequence |
MHADTI (Multiview heterogeneous information network embedding with Hierarchical Attention mechanisms to discover potential Drug–Target Interaction) |
Multi Layer Perception (MLP) |
Drug Target Interaction (DTI) |
https://github.com/pxystudy/MHADTI |
Case studies |
NA |
NA |
Pregabalin,Oxycodone,Sunitinib,Acetaminophen,Gefitinib |
NA |
NA |
36242566 |
Brief Bioinform |
2022 |
| 46 |
59.9 |
1060 |
NA |
Drug, Disease, Target, Gene |
NA |
RepCOOL |
Random Forest (RF) |
Drug Disease Association (DDA) |
NA |
Case studies |
Breast cancer stage II |
NA |
NA |
NA |
Top 4 drugs |
33008415 |
J Transl Med |
2020 |
| 47 |
59.7 |
1140 |
NA |
Chemical molecules, Gene, Gene expression profiles |
NA |
MNBDR (Module Network Based Drug Repositioning)LINC1000,Cmap |
Random Walk |
Drug Disease Association (DDA) |
https://github.com/nbnbhwyy/MNBDR |
Case studies |
Breast cancer |
NA |
NA |
NA |
NA |
33375395 |
Genes (Basel) |
2020 |
| 48 |
58.9 |
1260 |
NA |
Subject, object, predicate |
NA |
LBD |
Knowledge Graph Completion |
Drug Disease Association (DDA) |
https://github.com/kilicogluh/lbd-covid |
Special studies |
COVID-19 |
NA |
NA |
NA |
5 drugs |
33571675 |
J Biomed Inform |
2021 |
| 49 |
58.7 |
725 |
NA |
Drug, Disease, Target |
Drug: drug-target target |
NA |
CLASH (Complementary Linkage with Anchoring and Scoring),Graph-based Semi-Supervised Learning (SSL) |
Drug Drug Interaction (DDI) |
NA |
Case studies |
Vascular dementia |
NA |
NA |
NA |
Top 11 drug |
31337333 |
BMC Bioinformatics |
2019 |
| 50 |
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 |
| 51 |
56.6 |
380 |
NA |
Drug, Gene |
Drug: UniProt ID, |
PD-MRW |
Random Walk |
Drug Gene Association (DGA) |
NA |
Case studies |
Hepatocellular Carcinoma |
NA |
NA |
NA |
Top 20 drugs |
27076463 |
IEEE/ACM Trans Comput Biol Bioinform |
2017 |
| 52 |
56.5 |
1546 |
NA |
Drug, Disease, Gene |
NA |
GCAN (GRU-Cooperation-Attention-Network) |
GRU-Cooperation-Attention-Network (GCAN),RNN,Biased random walk |
Drug Disease Association (DDA) |
NA |
Case studies |
type I Gaucher disease |
NA |
NA |
NA |
Top 2 drugs |
34789254 |
BMC Med Inform Decis Mak |
2021 |
| 53 |
55.5 |
816 |
NA |
Drug, Target |
Drug: chemical structure, Target: GO terms |
OCSVM (One-class Support Vector Machine) |
Support Vector Machine (SVM) |
Drug Target Interaction (DTI) |
Additional file 4 |
NA |
NA |
NA |
NA |
NA |
NA |
31881829 |
BMC Bioinformatics |
2019 |
| 54 |
55.4 |
1915 |
NA |
Drug, Gene |
NA |
NA |
Random Walk with Restart (RWR) |
Drug Disease Association (DDA) |
NA |
Special studies |
Non-Small Cell Lung Cancer (NSCLC) |
NA |
NA |
NA |
Top 11 drugs |
36768566 |
Int J Mol Sci |
2023 |
| 54 |
55.4 |
1915 |
NA |
Drug, Gene |
NA |
NA |
Random Walk with Restart (RWR) |
Drug Disease Association (DDA) |
NA |
Special studies |
Colorectal Cancer |
NA |
NA |
NA |
Top 9 drugs |
36768566 |
Int J Mol Sci |
2023 |
| 55 |
53.5 |
586 |
NA |
Drug, Disease |
Drug: PubChem fingerprints, Disease: MeSH |
DrPOCS (projection onto convex sets) |
Matrix Completion |
Drug Disease Association (DDA) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
29993698 |
IEEE/ACM Trans Comput Biol Bioinform |
2019 |
| 56 |
51.4 |
1056 |
NA |
Drug, Target |
Drug: chemical structure |
PIMD |
Similarity Network Fusion (SNF) |
Drug Drug Interaction (DDI) |
https://github.com/Sepstar/PIMD/ |
Case studies |
NA |
NA |
NA |
NA |
NA |
33075523 |
Genomics Proteomics Bioinformatics |
2020 |
| 57 |
50.5 |
569 |
NA |
Drug, Disease, Target |
NA |
NA |
Random Forest (RF),Neural network |
Drug Disease Association (DDA) |
NA |
Case studies |
Dysmenorrhea |
NA |
NA |
NA |
Candidate drugs with the mean AUC>0.9 |
30463505 |
BMC Bioinformatics |
2018 |
| 57 |
50.5 |
569 |
NA |
Drug, Disease, Target |
NA |
NA |
Random Forest (RF),Neural network |
Drug Disease Association (DDA) |
NA |
Case studies |
Psoriasis |
NA |
NA |
NA |
Candidate drugs with the mean AUC>0.9 |
30463505 |
BMC Bioinformatics |
2018 |
| 57 |
50.5 |
569 |
NA |
Drug, Disease, Target |
NA |
NA |
Random Forest (RF),Neural network |
Drug Disease Association (DDA) |
NA |
Case studies |
Urticaria |
NA |
NA |
NA |
Candidate drugs with the mean AUC>0.9 |
30463505 |
BMC Bioinformatics |
2018 |
| 57 |
50.5 |
569 |
NA |
Drug, Disease, Target |
NA |
NA |
Random Forest (RF),Neural network |
Drug Disease Association (DDA) |
NA |
Case studies |
Osteoarthritis |
NA |
NA |
NA |
Candidate drugs with the mean AUC>0.9 |
30463505 |
BMC Bioinformatics |
2018 |
| 57 |
50.5 |
794 |
NA |
Drug, Target |
Drug: SMILES, Proten: the amino acid sequence |
BANDIT |
Bayesian |
Drug Target Interaction (DTI) |
Select pieces of custom code can be made available upon request. |
NA |
NA |
NA |
NA |
NA |
NA |
31745082 |
Nat Commun |
2019 |
| 57 |
50.5 |
2000 |
NA |
Drug, Disease, Target |
Drug: SMILES, Target: the amino acid sequences |
DT2Vec+ |
XGBoost |
Drug Target Interaction (DTI) |
https://github.com/elmira-amiri/DT2VecPlus |
NA |
NA |
NA |
NA |
NA |
NA |
37193964 |
BMC Bioinformatics |
2023 |
| 57 |
50.5 |
569 |
NA |
Drug, Disease, Target |
NA |
NA |
Random Forest (RF),Neural network |
Drug Disease Association (DDA) |
NA |
Case studies |
Chronic lymphocytic leukemia |
NA |
NA |
NA |
Candidate drugs with the mean AUC>0.9 |
30463505 |
BMC Bioinformatics |
2018 |
| 58 |
49.5 |
1203 |
NA |
Drug, Virus |
NA |
IRNMF (Indicator Regularized non-negative Matrix Factorization) |
Non-negative Matrix Factorization (NMF) |
Drug Virus Association (DVA) |
https://github.com/dukebai/IRNMF |
NA |
NA |
NA |
NA |
NA |
NA |
33584672 |
Front Immunol |
2021 |
| 59 |
47.5 |
1795 |
NA |
Drug, Disease, Target, Side-effect, Substructure |
NA |
MGATRx |
Graph Neural Network (GNN) |
Drug Disease Association (DDA) |
https://github.com/yellajaswanth/MGATRx |
NA |
NA |
NA |
NA |
NA |
NA |
34014830 |
IEEE/ACM Trans Comput Biol Bioinform |
2022 |
| 60 |
45 |
1220 |
NA |
Drug, Disease, Gene |
NA |
SAveRUNNER (Searching off-lAbel dRUg aNd NEtwoRk) |
Bi-Random walk-based algorithm |
Drug Disease Association (DDA) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
33544720 |
PLoS Comput Biol |
2021 |
| 61 |
42.4 |
465 |
NA |
Drug, Target, Gene, Side-effect |
Drug: Chemical structure, target, Gene, side-effect |
NA |
Growing Self Organizing Map (GSOM) |
Drug Drug Interaction (DDI) |
https://github.com/fathimanush786/two_tiered_clustrering_data |
NA |
NA |
NA |
NA |
NA |
NA |
29642848 |
BMC Bioinformatics |
2018 |
| 62 |
40.7 |
1307 |
NA |
Drug, Target |
Drug: 2-D structural representations, |
CSConv2d |
Convolutional Block Attention Module (CBAM) |
Drug Target Interaction (DTI) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
33925310 |
Biomolecules |
2021 |
| 63 |
40.5 |
142 |
NA |
Drug, Disease, Gene |
NA |
NA |
Matrix Factorization |
Drug Disease Association (DDA) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
26078775 |
Comput Math Methods Med |
2015 |
| 64 |
39.2 |
154 |
NA |
Drug |
Drug: chemical structure |
NA |
Markov Clustering |
Drug Drug Interaction (DDI) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
24934184 |
Chem Biol Drug Des |
2015 |
| 65 |
27.6 |
1110 |
NA |
Drug, Disease, Gene, Pathway, Side-effect |
NA |
NA |
Support Vector Machine (SVM),Decision Tree (DT),Random Forest (RF) |
Drug Disease Association (DDA) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
32674665 |
Health Informatics J |
2020 |