| 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 |
77.875 |
2079 |
BindingDB |
Drug, Target |
Drug: SMILES, Target: the amino acid sequences |
MULGA (Multi-view Learning and Graph Autoencoder framework) |
Multi-view Learning and Graph Autoencoder (GAE) |
Drug Target Interaction (DTI) |
https://github.com/jianiM/MULGA |
Case studies |
COVID-19 |
Spike glycoprotein |
NA |
NA |
Top 20 drugs |
37610353 |
Bioinformatics |
2023 |
| 2 |
73.2 |
1981 |
BindingDB |
Drug, Target |
Drug: SMILES, Target: the amino acid sequences |
GIFDTI |
Convolutional Neural Network (CNN),Transformer |
Drug Target Interaction (DTI) |
https://github.com/zhaoqichang/GIFDTI |
Case studies |
NA |
NA |
Fludiazepam |
NA |
Top 20 targets |
36445997 |
IEEE/ACM Trans Comput Biol Bioinform |
2023 |
| 2 |
73.2 |
1981 |
BindingDB |
Drug, Target |
Drug: SMILES, Target: the amino acid sequences |
GIFDTI |
Convolutional Neural Network (CNN),Transformer |
Drug Target Interaction (DTI) |
https://github.com/zhaoqichang/GIFDTI |
Case studies |
NA |
Epidermal Growth Factor Receptor (EGFR) |
NA |
NA |
Top 20 drugs |
36445997 |
IEEE/ACM Trans Comput Biol Bioinform |
2023 |
| 3 |
72.3 |
1765 |
BindingDB |
Drug, Target |
Drug: SMILES, Target: binding site |
AttentionSiteDTI |
Bidirectional Long Short-Term Memory (Bi-LSTM),Graph Convolutional Network (GCN),Multi-Layer Perceptron (MLP) |
Drug Target Interaction (DTI) |
https://github.com/yazdanimehdi/AttentionSiteDTI |
Case studies |
COVID-19 |
SARS-CoV-2 |
NA |
NA |
Top 7 drugs |
35817396 |
Brief Bioinform |
2022 |
| 4 |
66.8 |
2181 |
BindingDB |
Drug, Target |
Drug: SMILES |
NA |
Extra tree classifier (ETC) |
Drug Target Interaction (DTI) |
NA |
Special studies |
NA |
Epidermal Growth Factor Receptor (EGFR) |
NA |
NA |
Top 9 drugs |
38000720 |
Eur J Pharmacol |
2024 |
| 5 |
60.0875 |
2176 |
BindingDB |
Drug, Target |
Target: 20D Vector, Drug: SMILES |
geNnius (Graph Embedding Neural Network Interaction Uncovering System) |
Graph Neural Network (GNN) |
Drug Target Interaction (DTI) |
https://github.com/ubioinformat/GeNNius |
NA |
NA |
NA |
NA |
NA |
NA |
38134424 |
Bioinformatics |
2024 |
| 6 |
51.85 |
1518 |
BindingDB |
Drug, Target |
Drug: SMILES, Target: the amino acid sequences |
DTI-End-to-End-DL |
Convolutional Neural Network (CNN) |
Drug Target Interaction (DTI) |
https://github.com/larngroup/DTI-End-to-End-DL |
NA |
NA |
NA |
NA |
NA |
NA |
32142454 |
IEEE/ACM Trans Comput Biol Bioinform |
2021 |
| 7 |
51.5 |
1838 |
BindingDB |
Drug, Target |
Drug: SMILES, Target: the amino acid sequences |
DeepLPI |
Convolutional Neural Network (CNN),Bidirectional Long Short-Term Memory (Bi-LSTM) |
Drug Target Interaction (DTI) |
https://github.com/David-BominWei/DeepLPI |
NA |
NA |
NA |
NA |
NA |
NA |
36307509 |
Sci Rep |
2022 |
| 8 |
50.05 |
187 |
BindingDB |
Drug, Target |
Target: Fingerprint |
WES |
Bayesian network and multi-variate kernel approach |
Drug Target Interaction (DTI) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
26155766 |
Sci Rep |
2015 |
| 9 |
49 |
1834 |
BindingDB |
Drug, Target |
Drug: SMILES, Target: the amino acid sequences |
ICAN (Interpretable Cross-Attention Network) |
Convolutional Neural Network (CNN) |
Drug Target Interaction (DTI) |
https://github.com/kuratahiroyuki/ICAN |
NA |
NA |
NA |
NA |
NA |
NA |
36279284 |
PLoS One |
2022 |
