| 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 |
80.7 |
1994 |
Davis |
Drug, Target |
Drug: SMILES, Target: the amino acid sequences |
MSGNN-DTA |
Graph Neural Network (GNN) |
Drug Target binding Affinity (DTA) |
https://github.com/songxuanmo/MSGNN-DTA |
Case studies |
NA |
Epidermal Growth Factor Receptor (EGFR) |
NA |
NA |
Top 11 drugs |
37176031 |
Int J Mol Sci |
2023 |
| 1 |
80.7 |
1994 |
KIBA |
Drug, Target |
Drug: SMILES, Target: the amino acid sequences |
MSGNN-DTA |
Graph Neural Network (GNN) |
Drug Target binding Affinity (DTA) |
https://github.com/songxuanmo/MSGNN-DTA |
Case studies |
NA |
Epidermal Growth Factor Receptor (EGFR) |
NA |
NA |
Top 11 drugs |
37176031 |
Int J Mol Sci |
2023 |
| 2 |
76 |
2093 |
Davis |
Drug, Target |
Drug: SMILES, Target: the amino acid sequences |
DGDTA |
Graph Attention Network (GAT),Graph Convolutional Network (GCN),Bidirectional Long Short-Term Memory (Bi-LSTM),Multilayer Convolutional Network |
Drug Target binding Affinity (DTA) |
https://github.com/luojunwei/DGDTA |
Case studies |
NA |
Receptor Tyrosine Kinases (RTKs) |
NA |
NA |
Top 1 drug |
37777712 |
BMC Bioinformatics |
2023 |
| 2 |
76 |
2093 |
KIBA |
Drug, Target |
Drug: SMILES, Target: the amino acid sequences |
DGDTA |
Graph Attention Network (GAT),Graph Convolutional Network (GCN),Bidirectional Long Short-Term Memory (Bi-LSTM),Multilayer Convolutional Network |
Drug Target binding Affinity (DTA) |
https://github.com/luojunwei/DGDTA |
Case studies |
NA |
Receptor Tyrosine Kinases (RTKs) |
NA |
NA |
Top 1 drug |
37777712 |
BMC Bioinformatics |
2023 |
| 3 |
72.95 |
2134 |
External Set-2 |
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 |
| 3 |
72.95 |
2134 |
DRH |
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 |
| 3 |
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 |
| 3 |
72.95 |
2134 |
External Set-1 |
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 |
| 4 |
60 |
2001 |
Davis |
Drug, Target |
NA |
BindingSite-AugmentedDTA |
Graph Neural Network (GNN) |
Drug Target binding Affinity (DTA) |
https://github.com/yazdanimehdi/BindingSite-AugmentedDTA |
Case studies |
COVID-19 |
SARS-CoV-2 (3C-like protease, RNA-dependent RNA polymerase(RdRp), helicase, Spike/ACE2 complex) |
NA |
NA |
Top 10 drugs |
37096593 |
Brief Bioinform |
2023 |
| 4 |
60 |
2001 |
KIBA |
Drug, Target |
NA |
BindingSite-AugmentedDTA |
Graph Neural Network (GNN) |
Drug Target binding Affinity (DTA) |
https://github.com/yazdanimehdi/BindingSite-AugmentedDTA |
Case studies |
COVID-19 |
SARS-CoV-2 (3C-like protease, RNA-dependent RNA polymerase(RdRp), helicase, Spike/ACE2 complex) |
NA |
NA |
Top 10 drugs |
37096593 |
Brief Bioinform |
2023 |
| 5 |
57 |
2144 |
Davis |
Drug, Target |
Drug: SMILES, Target: The amino acid Sequence. |
TeM-DTBA (Time-efficient Multimodal Drug Target Binding Affinity) |
Multi Layer Perception (MLP) |
Drug Target binding Affinity (DTA) |
https://github.com/hkmztrk/DeepDTA/tree/master/data. |
NA |
NA |
NA |
NA |
NA |
NA |
37777631 |
J Comput Aided Mol Des |
2023 |
| 5 |
57 |
2144 |
KIBA |
Drug, Target |
Drug: SMILES, Target: The amino acid Sequence. |
TeM-DTBA (Time-efficient Multimodal Drug Target Binding Affinity) |
Multi Layer Perception (MLP) |
Drug Target binding Affinity (DTA) |
https://github.com/hkmztrk/DeepDTA/tree/master/data. |
NA |
NA |
NA |
NA |
NA |
NA |
37777631 |
J Comput Aided Mol Des |
2023 |
| 6 |
55 |
1674 |
Davis |
Drug, Target |
Drug: SMILES, Target: the amino acid sequences |
Affinity2Vec |
XGBoost |
Drug Target binding Affinity (DTA) |
https://github.com/MahaThafar/Affinity2Vec |
NA |
NA |
NA |
NA |
NA |
NA |
35306525 |
Sci Rep |
2022 |
| 6 |
55 |
1674 |
KIBA |
Drug, Target |
Drug: SMILES, Target: the amino acid sequences |
Affinity2Vec |
XGBoost |
Drug Target binding Affinity (DTA) |
https://github.com/MahaThafar/Affinity2Vec |
NA |
NA |
NA |
NA |
NA |
NA |
35306525 |
Sci Rep |
2022 |
| 7 |
52.75 |
1659 |
Davis |
Drug, Target |
Drug: SMILES, Target: the amino acid sequences |
GEFA (Graph Early Fusion Affinity) |
Graph Convolutional Network (GCN) |
Drug Target binding Affinity (DTA) |
https://github.com/ngminhtri0394/GEFA |
NA |
NA |
NA |
NA |
NA |
NA |
34197324 |
IEEE/ACM Trans Comput Biol Bioinform |
2022 |
| 7 |
52.75 |
1659 |
PDBBind |
Drug, Target |
Drug: SMILES, Target: the amino acid sequences |
GEFA (Graph Early Fusion Affinity) |
Graph Convolutional Network (GCN) |
Drug Target binding Affinity (DTA) |
https://github.com/ngminhtri0394/GEFA |
NA |
NA |
NA |
NA |
NA |
NA |
34197324 |
IEEE/ACM Trans Comput Biol Bioinform |
2022 |
| 8 |
51 |
1678 |
Davis |
Drug, Target |
Drug: 2D chemical structure, Target: sequence |
NerLTR-DTA |
Learning To Rank (LTR) |
Drug Target binding Affinity (DTA) |
https://github.com/RUXIAOQING964914140/NerLTR-DTA |
NA |
NA |
NA |
NA |
NA |
NA |
35134828 |
Bioinformatics |
2022 |
| 8 |
51 |
1678 |
KIBA |
Drug, Target |
Drug: 2D chemical structure, Target: sequence |
NerLTR-DTA |
Learning To Rank (LTR) |
Drug Target binding Affinity (DTA) |
https://github.com/RUXIAOQING964914140/NerLTR-DTA |
NA |
NA |
NA |
NA |
NA |
NA |
35134828 |
Bioinformatics |
2022 |
| 9 |
50 |
1343 |
Davis |
Drug, Target |
Drug: (the atom symbol, the number of adjacent atoms, the number of adjacent hydrogens, the implicit value of the atom, and whether the atom is in an aromatic structure), Target: (ASCII character string) |
GraphDTA |
Graph Neural Network (GNN) |
Drug Target binding Affinity (DTA) |
https://github.com/thinng/GraphDTA |
NA |
NA |
NA |
NA |
NA |
NA |
33119053 |
Bioinformatics |
2021 |
| 9 |
50 |
1343 |
KIBA |
Drug, Target |
Drug: (the atom symbol, the number of adjacent atoms, the number of adjacent hydrogens, the implicit value of the atom, and whether the atom is in an aromatic structure), Target: (ASCII character string) |
GraphDTA |
Graph Neural Network (GNN) |
Drug Target binding Affinity (DTA) |
https://github.com/thinng/GraphDTA |
NA |
NA |
NA |
NA |
NA |
NA |
33119053 |
Bioinformatics |
2021 |