| 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 |
| 1 |
86.05 |
2168 |
Hetero-A |
Drug, Disease, Target |
NA |
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 |
77.4 |
607 |
DTINet |
Drug, Disease, Target , Side-effect |
Drug: Morgan fingerprints, Target: target sequence |
NeoDTI (NEural integration of neighbOr information for DTI prediction) |
Matrix Factorization |
Drug Target Interaction (DTI) |
https://github.com/FangpingWan/NeoDTI |
Case studies |
NA |
NA |
NA |
Drug disease interaction |
Top 20 predictions |
30561548 |
Bioinformatics |
2019 |
| 3 |
73.7 |
1032 |
Fdataset |
Drug, Disease |
Drug: SMILES, Disease: Phenotye |
NEDD |
Random Forest (RF),Random Walk (RW) |
Drug Disease Association (DDA) |
NA |
Case studies |
NA |
NA |
NA |
Drug disease interaction |
Top 15 predictions |
32938396 |
BMC Bioinformatics |
2020 |
| 4 |
70.9 |
1796 |
Zhang's dataset |
Drug, Disease |
Drug: SMILES, Disease: Mesh semantic |
GraphPK (Graph-based Prior Knowledge) |
Multimodal neural network |
Drug Disease Association (DDA) |
NA |
Case studies |
NA |
NA |
NA |
Drug disease interaction |
Top 10 predictions |
34375284 |
IEEE/ACM Trans Comput Biol Bioinform |
2022 |
| 4 |
70.9 |
1796 |
Zhang's dataset |
Drug, Disease |
Drug: SMILES, Disease: Mesh semantic |
GraphPK (Graph-based Prior Knowledge) |
Multimodal neural network |
Drug Disease Association (DDA) |
NA |
Case studies |
NA |
NA |
NA |
Drug disease interaction |
Top 10 predictions |
34375284 |
IEEE/ACM Trans Comput Biol Bioinform |
2022 |
| 4 |
70.9 |
1796 |
Amazon's dataset |
Drug, Disease |
Drug: SMILES, Disease: Mesh semantic |
GraphPK (Graph-based Prior Knowledge) |
Multimodal neural network |
Drug Disease Association (DDA) |
NA |
Case studies |
NA |
NA |
NA |
Drug disease interaction |
Top 10 predictions |
34375284 |
IEEE/ACM Trans Comput Biol Bioinform |
2022 |
| 5 |
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 |
| 6 |
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 |
| 7 |
65.6 |
573 |
Fdataset |
Drug, Disease |
Drug: chemical substructures, Disease: MeSH |
RLSDR (Regularized Least Square for Drug Repositioning) |
Regularized Least Square |
Drug Disease Association (DDA) |
NA |
Case studies |
NA |
NA |
NA |
Drug disease interaction |
Top 19 predictions |
29700660 |
Acta Biotheor |
2018 |
| 7 |
65.6 |
573 |
Fdataset |
Drug, Disease |
Drug: chemical substructures, Disease: MeSH |
RLSDR (Regularized Least Square for Drug Repositioning) |
Regularized Least Square |
Drug Disease Association (DDA) |
NA |
Case studies |
NA |
NA |
NA |
Drug disease interaction |
Top 19 predictions |
29700660 |
Acta Biotheor |
2018 |
| 7 |
65.6 |
573 |
DNdataset |
Drug, Disease |
NA |
RLSDR (Regularized Least Square for Drug Repositioning) |
Regularized Least Square |
Drug Disease Association (DDA) |
NA |
Case studies |
NA |
NA |
NA |
Drug disease interaction |
Top 19 predictions |
29700660 |
Acta Biotheor |
2018 |
| 8 |
65 |
1396 |
DTINet |
Drug, Disease, Target |
NA |
DDTE |
Graph Embedding Algorithm |
Drug Target Interaction (DTI) |
NA |
Case studies |
NA |
NA |
NA |
Drug disease interaction |
3 predictions |
34119691 |
J Biomed Inform |
2021 |
| 9 |
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 |