| 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 |
85.6 |
2118 |
DTINet |
Drug, Disease, Target |
Drug: SMILES(Drugbank), Target: amino acid sequences(HPRD) |
SATS |
Graph Neural Network (GNN) |
Drug Target Interaction (DTI) |
NA |
Case studies |
NA |
NA |
NA |
Drug target interaction |
Top 30 drugs |
37672364 |
IEEE J Biomed Health Inform |
2023 |
| 3 |
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 |
| 4 |
76.5 |
1776 |
BIOSNAP |
Drug, Target |
Drug: SMILES, Target: the amino acid sequences |
DeepFusion |
Graph Convolutional Network (GCN),Transformer |
Drug Target Interaction (DTI) |
NA |
Case studies |
NA |
NA |
NA |
Drug target interaction |
Top 14 predictions |
35219861 |
Methods |
2022 |
| 4 |
76.5 |
1776 |
Davis |
Drug, Target |
Drug: SMILES, Target: the amino acid sequences |
DeepFusion |
Graph Convolutional Network (GCN),Transformer |
Drug Target Interaction (DTI) |
NA |
Case studies |
NA |
NA |
NA |
Drug target interaction |
Top 14 predictions |
35219861 |
Methods |
2022 |
| 5 |
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 |
| 5 |
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 |
| 6 |
70.4 |
150 |
Yamanishi_E |
Drug, Target |
Drug: chemical sturcture, Target: target sequence |
NA |
Adaptive combination |
Drug Target Interaction (DTI) |
NA |
Case studies |
NA |
NA |
NA |
Drug target interaction |
Top 5 predictions |
26543857 |
Biomed Res Int |
2015 |
| 6 |
70.4 |
150 |
Yamanishi_IC |
Drug, Target |
Drug: chemical sturcture, Target: target sequence |
NA |
Adaptive combination |
Drug Target Interaction (DTI) |
NA |
Case studies |
NA |
NA |
NA |
Drug target interaction |
Top 5 predictions |
26543857 |
Biomed Res Int |
2015 |
| 6 |
70.4 |
150 |
Yamanishi_GPCR |
Drug, Target |
Drug: chemical sturcture, Target: target sequence |
NA |
Adaptive combination |
Drug Target Interaction (DTI) |
NA |
Case studies |
NA |
NA |
NA |
Drug target interaction |
Top 5 predictions |
26543857 |
Biomed Res Int |
2015 |
| 6 |
70.4 |
150 |
Yamanishi_NR |
Drug, Target |
Drug: chemical sturcture, Target: target sequence |
NA |
Adaptive combination |
Drug Target Interaction (DTI) |
NA |
Case studies |
NA |
NA |
NA |
Drug target interaction |
Top 5 predictions |
26543857 |
Biomed Res Int |
2015 |
| 7 |
68.9 |
813 |
DTD |
Drug, Disease, Target |
Drug: chemical structure, Target: the amino acid sequences |
NA |
Tensor decomposition |
Drug Disease Target associations |
NA |
Case studies |
NA |
NA |
NA |
Drug target interaction |
Top 10 predictions |
31839008 |
BMC Bioinformatics |
2019 |
| 7 |
68.9 |
813 |
Cancer subset |
Drug, Disease, Target |
Drug: chemical structure, Target: the amino acid sequences |
NA |
Tensor decomposition |
Drug Disease Target associations |
NA |
Case studies |
NA |
NA |
NA |
Drug target interaction |
Top 10 predictions |
31839008 |
BMC Bioinformatics |
2019 |
| 8 |
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 |