| 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 |
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 |
| 2 |
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 |
| 3 |
64.5 |
968 |
Fdataset (Dataset 2) |
Drug, Disease, Target |
Drug: SMILES, Target: target sequence Disease: MeSH |
iDrug |
Matrix Completion |
Drug Target Interaction (DTI) |
https://github.com/Case-esaC/iDrug |
NA |
NA |
NA |
NA |
NA |
NA |
32667925 |
PLoS Comput Biol |
2020 |
| 3 |
64.5 |
968 |
Dataset 1 |
Drug, Disease, Target |
Drug: SMILES, Target: target sequence Disease: MeSH |
iDrug |
Matrix Completion |
Drug Target Interaction (DTI) |
https://github.com/Case-esaC/iDrug |
NA |
NA |
NA |
NA |
NA |
NA |
32667925 |
PLoS Comput Biol |
2020 |
| 4 |
62.5 |
736 |
Fdataset |
Drug, Disease |
Drug: SMILES, Diseases: MeSH terms |
ANMF |
Additional Neural Matrix Factorization |
Drug Disease Association (DDA) |
https://github.com/MortySn/ANMF |
NA |
NA |
NA |
NA |
NA |
NA |
31412762 |
BMC Bioinformatics |
2019 |
| 4 |
62.5 |
736 |
Cdataset |
Drug, Disease |
Drug: SMILES, Diseases: MeSH terms |
ANMF |
Additional Neural Matrix Factorization |
Drug Disease Association (DDA) |
https://github.com/MortySn/ANMF |
NA |
NA |
NA |
NA |
NA |
NA |
31412762 |
BMC Bioinformatics |
2019 |
| 5 |
60.9 |
1340 |
NR |
Drug, Target |
Drug: SMILES, Target: Sequence |
DTI-MLCD |
Random Forest (RF) |
Drug Target Interaction (DTI) |
https://github.com/a96123155/DTI-MLCD |
NA |
NA |
NA |
NA |
NA |
NA |
32964234 |
Brief Bioinform |
2021 |
| 5 |
60.9 |
1340 |
E |
Drug, Target |
Drug: SMILES, Target: Sequence |
DTI-MLCD |
Random Forest (RF) |
Drug Target Interaction (DTI) |
https://github.com/a96123155/DTI-MLCD |
NA |
NA |
NA |
NA |
NA |
NA |
32964234 |
Brief Bioinform |
2021 |
| 5 |
60.9 |
1340 |
IC |
Drug, Target |
Drug: SMILES, Target: Sequence |
DTI-MLCD |
Random Forest (RF) |
Drug Target Interaction (DTI) |
https://github.com/a96123155/DTI-MLCD |
NA |
NA |
NA |
NA |
NA |
NA |
32964234 |
Brief Bioinform |
2021 |
| 5 |
60.9 |
1340 |
GPCR |
Drug, Target |
Drug: SMILES, Target: Sequence |
DTI-MLCD |
Random Forest (RF) |
Drug Target Interaction (DTI) |
https://github.com/a96123155/DTI-MLCD |
NA |
NA |
NA |
NA |
NA |
NA |
32964234 |
Brief Bioinform |
2021 |
| 6 |
60.5 |
1980 |
Ovarian Cancer Dataset |
Drug, Gene |
NA |
SPLNMTF (Self-Paced Non-negative Matrix Tri-Factorization) |
Matrix Factorization |
Drug Disease Association (DDA) |
https://github.com/qi0906/SPLNMTF |
NA |
NA |
NA |
NA |
NA |
NA |
36445996 |
IEEE/ACM Trans Comput Biol Bioinform |
2023 |
| 6 |
60.5 |
1980 |
Acute myeloid leukemia (AML) dataset |
Drug, Gene |
NA |
SPLNMTF (Self-Paced Non-negative Matrix Tri-Factorization) |
Matrix Factorization |
Drug Disease Association (DDA) |
https://github.com/qi0906/SPLNMTF |
NA |
NA |
NA |
NA |
NA |
NA |
36445996 |
IEEE/ACM Trans Comput Biol Bioinform |
2023 |
| 7 |
60.0875 |
2176 |
Yamanishi_IC |
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 |
| 7 |
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 |
| 7 |
60.0875 |
2176 |
Yamanishi_NR |
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 |
| 7 |
60.0875 |
2176 |
Davis |
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 |
| 7 |
60.0875 |
2176 |
Yamanishi_E |
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 |
| 7 |
60.0875 |
2176 |
DrugBank (version 5.1.9) |
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 |
| 7 |
60.0875 |
2176 |
Yamanishi_GPCR |
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 |
| 7 |
60.0875 |
2176 |
BIOSNAP |
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 |
| 8 |
59.6 |
415 |
Yamanishi_E |
Drug, Target |
Drug: chemical sturcture, Target: target sequence |
BRDTI |
Bayesian |
Drug Target Interaction (DTI) |
https://github.com/lpeska/BRDTI |
NA |
NA |
NA |
NA |
NA |
NA |
29054256 |
Comput Methods Programs Biomed |
2017 |
| 8 |
59.6 |
415 |
Yamanishi_NR |
Drug, Target |
Drug: chemical sturcture, Target: target sequence |
BRDTI |
Bayesian |
Drug Target Interaction (DTI) |
https://github.com/lpeska/BRDTI |
NA |
NA |
NA |
NA |
NA |
NA |
29054256 |
Comput Methods Programs Biomed |
2017 |
| 8 |
59.6 |
415 |
Yamanishi_IC |
Drug, Target |
Drug: chemical sturcture, Target: target sequence |
BRDTI |
Bayesian |
Drug Target Interaction (DTI) |
https://github.com/lpeska/BRDTI |
NA |
NA |
NA |
NA |
NA |
NA |
29054256 |
Comput Methods Programs Biomed |
2017 |
| 8 |
59.6 |
415 |
Kinase (K) dataset |
Drug, Target |
Drug: chemical sturcture, Target: target sequence |
BRDTI |
Bayesian |
Drug Target Interaction (DTI) |
https://github.com/lpeska/BRDTI |
NA |
NA |
NA |
NA |
NA |
NA |
29054256 |
Comput Methods Programs Biomed |
2017 |
| 8 |
59.6 |
415 |
Yamanishi_GPCR |
Drug, Target |
Drug: chemical sturcture, Target: target sequence |
BRDTI |
Bayesian |
Drug Target Interaction (DTI) |
https://github.com/lpeska/BRDTI |
NA |
NA |
NA |
NA |
NA |
NA |
29054256 |
Comput Methods Programs Biomed |
2017 |
| 9 |
58.5 |
1132 |
Fdataset |
Drug, Disease |
Drug: SMILES, Disease: medical description data |
HAMN (Hybrid Attentional Memory Network) |
Collaborative Filtering,Autoencoder |
Drug Disease Association (DDA) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
33297947 |
BMC Bioinformatics |
2020 |
| 9 |
58.5 |
1132 |
Cdataset |
Drug, Disease |
Drug: SMILES, Disease: medical description data |
HAMN (Hybrid Attentional Memory Network) |
Collaborative Filtering,Autoencoder |
Drug Disease Association (DDA) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
33297947 |
BMC Bioinformatics |
2020 |
| 10 |
57 |
1719 |
Own dataset |
Drug, Target |
Drug: side-effects, drug chemical structure, drug physicochemical properties and therapeutic properties, Target: co-pathway, PPI network, Gene Ontology and gene-encoded target sequence |
DTI-HETA |
Graph Neural Network (GNN),Graph Attention Network (GAT) |
Drug Target Interaction (DTI) |
https://github.com/ZhangyuXM/DTI-HETA |
NA |
NA |
NA |
NA |
NA |
NA |
35380622 |
Brief Bioinform |
2022 |
| 10 |
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 |
| 10 |
57 |
1719 |
Yamanishi_E |
Drug, Target |
Drug: side-effects, drug chemical structure, drug physicochemical properties and therapeutic properties, Target: co-pathway, PPI network, Gene Ontology and gene-encoded target sequence |
DTI-HETA |
Graph Neural Network (GNN),Graph Attention Network (GAT) |
Drug Target Interaction (DTI) |
https://github.com/ZhangyuXM/DTI-HETA |
NA |
NA |
NA |
NA |
NA |
NA |
35380622 |
Brief Bioinform |
2022 |
| 10 |
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 |
| 10 |
57 |
1719 |
Yamanishi_IC |
Drug, Target |
Drug: side-effects, drug chemical structure, drug physicochemical properties and therapeutic properties, Target: co-pathway, PPI network, Gene Ontology and gene-encoded target sequence |
DTI-HETA |
Graph Neural Network (GNN),Graph Attention Network (GAT) |
Drug Target Interaction (DTI) |
https://github.com/ZhangyuXM/DTI-HETA |
NA |
NA |
NA |
NA |
NA |
NA |
35380622 |
Brief Bioinform |
2022 |
| 11 |
56.76 |
1695 |
Yamanishi_NR |
Drug, Target |
Drug: chemical substructures, Target: the primary sequences |
DT2Vec |
XGBoost |
Drug Target Interaction (DTI) |
https://github.com/elmira-amiri/DT2Vec |
NA |
NA |
NA |
NA |
NA |
NA |
35379165 |
BMC Bioinformatics |
2022 |
| 11 |
56.76 |
1695 |
CheMBL |
Drug, Target |
Drug: chemical substructures, Target: the primary sequences |
DT2Vec |
XGBoost |
Drug Target Interaction (DTI) |
https://github.com/elmira-amiri/DT2Vec |
NA |
NA |
NA |
NA |
NA |
NA |
35379165 |
BMC Bioinformatics |
2022 |
| 11 |
56.76 |
1695 |
Yamanishi_E |
Drug, Target |
Drug: chemical substructures, Target: the primary sequences |
DT2Vec |
XGBoost |
Drug Target Interaction (DTI) |
https://github.com/elmira-amiri/DT2Vec |
NA |
NA |
NA |
NA |
NA |
NA |
35379165 |
BMC Bioinformatics |
2022 |
| 11 |
56.76 |
1695 |
Yamanishi_IC |
Drug, Target |
Drug: chemical substructures, Target: the primary sequences |
DT2Vec |
XGBoost |
Drug Target Interaction (DTI) |
https://github.com/elmira-amiri/DT2Vec |
NA |
NA |
NA |
NA |
NA |
NA |
35379165 |
BMC Bioinformatics |
2022 |
| 11 |
56.76 |
1695 |
Yamanishi_GPCR |
Drug, Target |
Drug: chemical substructures, Target: the primary sequences |
DT2Vec |
XGBoost |
Drug Target Interaction (DTI) |
https://github.com/elmira-amiri/DT2Vec |
NA |
NA |
NA |
NA |
NA |
NA |
35379165 |
BMC Bioinformatics |
2022 |
| 12 |
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 |
| 13 |
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 |
| 13 |
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 |
| 14 |
54.5 |
1567 |
NeoDTI |
Drug, Disease, Target, Side-effect |
Drug: SMILES, Target: target sequence |
MultiDTI (Multi-modal DTI) |
Convolutional Neural Network (CNN) |
Drug Target Interaction (DTI) |
https://github.com/Deshan-Zhou/MultiDTI/ |
NA |
NA |
NA |
NA |
NA |
NA |
34180970 |
Bioinformatics |
2021 |
| 15 |
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 |
| 15 |
53.5 |
475 |
Dataset 1 |
Drug, Disease |
Drug: drug substructures, target target functional domain and GO annotations, Diseases: MeSH terms |
DR2DI |
Regularized Kernel Classifier |
Drug Disease Association (DDA) |
https://github.com/huayu1111/DR2DI |
NA |
NA |
NA |
NA |
NA |
NA |
29687309 |
J Comput Aided Mol Des |
2018 |
| 16 |
53 |
1748 |
C.elegans |
Drug, Target |
Drug: SMILES, Target: the amino acid sequences |
MHSADTI |
Graph Attention Network (GAT),Multi-head self-attention mechanism |
Drug Target Interaction (DTI) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
33956632 |
IEEE/ACM Trans Comput Biol Bioinform |
2022 |
| 16 |
53 |
856 |
LRSSL |
Drug, Disease |
Drug: chemical structure, drug target domain, drug target gene ontology (GO); Disease: semantic |
DDAPRED |
Logistic Matrix Factorization |
Drug Disease Association (DDA) |
https://github.com/nongdaxiaofeng/DDAPRED |
NA |
NA |
NA |
NA |
NA |
NA |
32062701 |
J Mol Model |
2020 |
| 16 |
53 |
1748 |
DUD-E |
Drug, Target |
Drug: SMILES, Target: the amino acid sequences |
MHSADTI |
Graph Attention Network (GAT),Multi-head self-attention mechanism |
Drug Target Interaction (DTI) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
33956632 |
IEEE/ACM Trans Comput Biol Bioinform |
2022 |
| 16 |
53 |
1748 |
DrugBank |
Drug, Target |
Drug: SMILES, Target: the amino acid sequences |
MHSADTI |
Graph Attention Network (GAT),Multi-head self-attention mechanism |
Drug Target Interaction (DTI) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
33956632 |
IEEE/ACM Trans Comput Biol Bioinform |
2022 |
| 16 |
53 |
1748 |
Human |
Drug, Target |
Drug: SMILES, Target: the amino acid sequences |
MHSADTI |
Graph Attention Network (GAT),Multi-head self-attention mechanism |
Drug Target Interaction (DTI) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
33956632 |
IEEE/ACM Trans Comput Biol Bioinform |
2022 |
| 17 |
52.98571429 |
973 |
dataset1_NR |
Drug, Target |
Drug: chemical sturcture, Target: target sequence |
DTIP_MDHN |
Index kernel matrix |
Drug Target Interaction (DTI) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
32703151 |
BMC Bioinformatics |
2020 |
| 17 |
52.98571429 |
973 |
Yamanishi_NR |
Drug, Target |
Drug: chemical sturcture, Target: target sequence |
DTIP_MDHN |
Index kernel matrix |
Drug Target Interaction (DTI) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
32703151 |
BMC Bioinformatics |
2020 |
| 17 |
52.98571429 |
973 |
dataset1_TR |
Drug, Target |
Drug: chemical sturcture, Target: target sequence |
DTIP_MDHN |
Index kernel matrix |
Drug Target Interaction (DTI) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
32703151 |
BMC Bioinformatics |
2020 |
| 17 |
52.98571429 |
973 |
dataset1_CR |
Drug, Target |
Drug: chemical sturcture, Target: target sequence |
DTIP_MDHN |
Index kernel matrix |
Drug Target Interaction (DTI) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
32703151 |
BMC Bioinformatics |
2020 |
| 17 |
52.98571429 |
973 |
dataset1_E |
Drug, Target |
Drug: chemical sturcture, Target: target sequence |
DTIP_MDHN |
Index kernel matrix |
Drug Target Interaction (DTI) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
32703151 |
BMC Bioinformatics |
2020 |
| 17 |
52.98571429 |
973 |
Yamanishi_E |
Drug, Target |
Drug: chemical sturcture, Target: target sequence |
DTIP_MDHN |
Index kernel matrix |
Drug Target Interaction (DTI) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
32703151 |
BMC Bioinformatics |
2020 |
| 17 |
52.98571429 |
973 |
dataset2_David |
Drug, Target |
Drug: chemical sturcture, Target: target sequence |
DTIP_MDHN |
Index kernel matrix |
Drug Target Interaction (DTI) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
32703151 |
BMC Bioinformatics |
2020 |
| 17 |
52.98571429 |
973 |
dataset2_Ketz |
Drug, Target |
Drug: chemical sturcture, Target: target sequence |
DTIP_MDHN |
Index kernel matrix |
Drug Target Interaction (DTI) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
32703151 |
BMC Bioinformatics |
2020 |
| 17 |
52.98571429 |
973 |
dataset1_CSM |
Drug, Target |
Drug: chemical sturcture, Target: target sequence |
DTIP_MDHN |
Index kernel matrix |
Drug Target Interaction (DTI) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
32703151 |
BMC Bioinformatics |
2020 |
| 17 |
52.98571429 |
973 |
dataset1_IC |
Drug, Target |
Drug: chemical sturcture, Target: target sequence |
DTIP_MDHN |
Index kernel matrix |
Drug Target Interaction (DTI) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
32703151 |
BMC Bioinformatics |
2020 |
| 17 |
52.98571429 |
973 |
Yamanishi_IC |
Drug, Target |
Drug: chemical sturcture, Target: target sequence |
DTIP_MDHN |
Index kernel matrix |
Drug Target Interaction (DTI) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
32703151 |
BMC Bioinformatics |
2020 |
| 17 |
52.98571429 |
973 |
Yamanishi_GPCR |
Drug, Target |
Drug: chemical sturcture, Target: target sequence |
DTIP_MDHN |
Index kernel matrix |
Drug Target Interaction (DTI) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
32703151 |
BMC Bioinformatics |
2020 |
| 17 |
52.98571429 |
973 |
dataset1_PK |
Drug, Target |
Drug: chemical sturcture, Target: target sequence |
DTIP_MDHN |
Index kernel matrix |
Drug Target Interaction (DTI) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
32703151 |
BMC Bioinformatics |
2020 |
| 17 |
52.98571429 |
973 |
dataset1_GPCR |
Drug, Target |
Drug: chemical sturcture, Target: target sequence |
DTIP_MDHN |
Index kernel matrix |
Drug Target Interaction (DTI) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
32703151 |
BMC Bioinformatics |
2020 |
| 18 |
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 |
| 18 |
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 |
| 19 |
52.4 |
1717 |
D1 |
Drug, Target |
NA |
MccDTI |
Deep Autoencoder,Matrix Completion |
Drug Target Interaction (DTI) |
https://github.com/ShangCS/MccDTI |
NA |
NA |
NA |
NA |
NA |
NA |
35262678 |
Brief Bioinform |
2022 |
| 19 |
52.4 |
1717 |
D2 |
Drug, Target |
NA |
MccDTI |
Deep Autoencoder,Matrix Completion |
Drug Target Interaction (DTI) |
https://github.com/ShangCS/MccDTI |
NA |
NA |
NA |
NA |
NA |
NA |
35262678 |
Brief Bioinform |
2022 |
| 20 |
51.85 |
1518 |
DrugBank |
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 |
| 20 |
51.85 |
1518 |
Yamanishi |
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 |
| 20 |
51.85 |
1518 |
BioLip |
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 |
| 20 |
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 |
| 21 |
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 |
| 21 |
51.5 |
1838 |
Davis |
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 |
| 21 |
51.5 |
1838 |
COVID19-One |
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 |
| 22 |
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 |
| 22 |
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 |
| 23 |
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 |
| 23 |
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 |
| 24 |
50.3 |
1787 |
DrugBank |
Drug, Target |
Drug: chemical structure, target: protein sequence |
Ro-DNILMF |
Integrated logistic matrix factorization |
Drug Target Interaction (DTI) |
https://github.com/LJX0326/Ro-DNILMF.git |
NA |
NA |
NA |
NA |
NA |
NA |
36014371 |
Molecules |
2022 |
| 24 |
50.3 |
1787 |
Yamanishi_IC |
Drug, Target |
Drug: chemical structure, target: protein sequence |
Ro-DNILMF |
Integrated logistic matrix factorization |
Drug Target Interaction (DTI) |
https://github.com/LJX0326/Ro-DNILMF.git |
NA |
NA |
NA |
NA |
NA |
NA |
36014371 |
Molecules |
2022 |
| 24 |
50.3 |
1787 |
Yamanishi_GPCR |
Drug, Target |
Drug: chemical structure, target: protein sequence |
Ro-DNILMF |
Integrated logistic matrix factorization |
Drug Target Interaction (DTI) |
https://github.com/LJX0326/Ro-DNILMF.git |
NA |
NA |
NA |
NA |
NA |
NA |
36014371 |
Molecules |
2022 |
| 24 |
50.3 |
1787 |
Yamanishi_NR |
Drug, Target |
Drug: chemical structure, target: protein sequence |
Ro-DNILMF |
Integrated logistic matrix factorization |
Drug Target Interaction (DTI) |
https://github.com/LJX0326/Ro-DNILMF.git |
NA |
NA |
NA |
NA |
NA |
NA |
36014371 |
Molecules |
2022 |
| 24 |
50.3 |
1787 |
Yamanishi_E |
Drug, Target |
Drug: chemical structure, target: protein sequence |
Ro-DNILMF |
Integrated logistic matrix factorization |
Drug Target Interaction (DTI) |
https://github.com/LJX0326/Ro-DNILMF.git |
NA |
NA |
NA |
NA |
NA |
NA |
36014371 |
Molecules |
2022 |
| 24 |
50.3 |
1787 |
KEGG |
Drug, Target |
Drug: chemical structure, target: protein sequence |
Ro-DNILMF |
Integrated logistic matrix factorization |
Drug Target Interaction (DTI) |
https://github.com/LJX0326/Ro-DNILMF.git |
NA |
NA |
NA |
NA |
NA |
NA |
36014371 |
Molecules |
2022 |
| 25 |
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 |
| 25 |
50.05 |
187 |
External data |
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 |
| 26 |
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 |
| 26 |
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 |
| 27 |
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 |
| 28 |
49 |
559 |
MULAN |
Drug, Disease, Gene |
Chemical: Extended Connectivity Fingerprint (ECFP), Gene: amino acid sequence |
ANTENNA |
Dual-regularized weighted,Imputed One Class Collaborative Filtering (OCCF) algorithm,Random Walk Restart |
Drug Disease Association (DDA) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
29993812 |
IEEE/ACM Trans Comput Biol Bioinform |
2018 |
| 28 |
49 |
1834 |
BIOSNAP |
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 |
| 28 |
49 |
1834 |
Davis |
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 |
| 28 |
49 |
64 |
Fdataset |
Drug, Disease |
Drug: structure chemical, target, side-effect, Diseases: MeSH terms |
PreDR (Predict Drug Repositioning) |
Support Vector Machine (SVM) |
Drug Disease Association (DDA) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
24244318 |
PLoS One |
2013 |
| 28 |
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 |
| 29 |
48.8 |
1914 |
Hetero-B |
Drug, Disease, Target, Side-effect |
NA |
MHGNN (Metapath-aggregated Heterogeneous Graph Neural Network) |
Graph Neural Network (GNN) |
Drug Target Interaction (DTI) |
https://github.com/Zora-LM/MHGNN-DTI |
NA |
NA |
NA |
NA |
NA |
NA |
36592060 |
Brief Bioinform |
2023 |
| 29 |
48.8 |
1914 |
Hetero-C |
Drug, Target, Gene, Side-effect |
NA |
MHGNN (Metapath-aggregated Heterogeneous Graph Neural Network) |
Graph Neural Network (GNN) |
Drug Target Interaction (DTI) |
https://github.com/Zora-LM/MHGNN-DTI |
NA |
NA |
NA |
NA |
NA |
NA |
36592060 |
Brief Bioinform |
2023 |
| 29 |
48.8 |
1914 |
Hetero-A |
Drug, Disease, Target, Side-effect |
NA |
MHGNN (Metapath-aggregated Heterogeneous Graph Neural Network) |
Graph Neural Network (GNN) |
Drug Target Interaction (DTI) |
https://github.com/Zora-LM/MHGNN-DTI |
NA |
NA |
NA |
NA |
NA |
NA |
36592060 |
Brief Bioinform |
2023 |
| 30 |
48.35 |
1235 |
dataset 1 |
Drug, Target |
Drug: constitutional, topological, and geometrical descriptors; Target: amino acid, pseudo-amino acid, and CTD (composition, transition, distribution) descriptors |
DTI-SNNFRA |
Shared nearest neighbors and fuzzy-rough approximation |
Drug Target Interaction (DTI) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
33606741 |
PLoS One |
2021 |
| 30 |
48.35 |
1235 |
dataset 2 |
Drug, Target |
Drug: constitutional, topological, and geometrical descriptors; Target: amino acid, pseudo-amino acid, and CTD (composition, transition, distribution) descriptors |
DTI-SNNFRA |
Shared nearest neighbors and fuzzy-rough approximation |
Drug Target Interaction (DTI) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
33606741 |
PLoS One |
2021 |
| 31 |
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 |
| 32 |
47 |
723 |
Yamanishi_IC |
Drug, Target |
NA |
SPLCMF (Self-paced learning with collaborative matrix factorization) |
Matrix Factorization |
Drug Target Interaction (DTI) |
https://github.com/Macau-LYXia/SPLCMF-DTI |
NA |
NA |
NA |
NA |
NA |
NA |
31260620 |
J Chem Inf Model |
2019 |
| 32 |
47 |
723 |
Yamanishi_GPCR |
Drug, Target |
NA |
SPLCMF (Self-paced learning with collaborative matrix factorization) |
Matrix Factorization |
Drug Target Interaction (DTI) |
https://github.com/Macau-LYXia/SPLCMF-DTI |
NA |
NA |
NA |
NA |
NA |
NA |
31260620 |
J Chem Inf Model |
2019 |
| 32 |
47 |
723 |
Yamanishi_NR |
Drug, Target |
NA |
SPLCMF (Self-paced learning with collaborative matrix factorization) |
Matrix Factorization |
Drug Target Interaction (DTI) |
https://github.com/Macau-LYXia/SPLCMF-DTI |
NA |
NA |
NA |
NA |
NA |
NA |
31260620 |
J Chem Inf Model |
2019 |
| 32 |
47 |
723 |
Yamanishi_E |
Drug, Target |
NA |
SPLCMF (Self-paced learning with collaborative matrix factorization) |
Matrix Factorization |
Drug Target Interaction (DTI) |
https://github.com/Macau-LYXia/SPLCMF-DTI |
NA |
NA |
NA |
NA |
NA |
NA |
31260620 |
J Chem Inf Model |
2019 |
| 32 |
47 |
723 |
Kuang's dataset |
Drug, Target |
NA |
SPLCMF (Self-paced learning with collaborative matrix factorization) |
Matrix Factorization |
Drug Target Interaction (DTI) |
https://github.com/Macau-LYXia/SPLCMF-DTI |
NA |
NA |
NA |
NA |
NA |
NA |
31260620 |
J Chem Inf Model |
2019 |
| 33 |
46.75 |
2132 |
Fdataset |
Drug, Disease |
NA |
IDDI-DNN |
Convolutional Neural Network (CNN) |
Drug Disease Association (DDA) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
37993777 |
BMC Bioinformatics |
2023 |
| 33 |
46.75 |
2132 |
DNdataset |
Drug, Disease |
NA |
IDDI-DNN |
Convolutional Neural Network (CNN) |
Drug Disease Association (DDA) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
37993777 |
BMC Bioinformatics |
2023 |
| 34 |
46.7 |
1221 |
NDF-RT |
Drug, Disease |
NA |
IntegratedSim |
Similarity-fusion methods |
Drug Drug Interaction (DDI) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
33557749 |
BMC Bioinformatics |
2021 |
| 34 |
46.7 |
1221 |
PMID: 24551427 |
Drug, Target, Side-effect |
Drug(structure, target, side-effect) |
IntegratedSim |
Similarity-fusion methods |
Drug Drug Interaction (DDI) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
33557749 |
BMC Bioinformatics |
2021 |
| 35 |
46.56 |
1658 |
Yamanishi_IC |
Drug, Target |
NA |
IMCHGAN (Inductive Matrix Completion with Heterogeneous Graph Attention Network) |
Graph Attention Network (GAT),Inductive Matrix Completion (IMC) |
Drug Target Interaction (DTI) |
https://github.com/ljatynu/IMCHGAN/ |
NA |
NA |
NA |
NA |
NA |
NA |
34115592 |
IEEE/ACM Trans Comput Biol Bioinform |
2022 |
| 35 |
46.56 |
1658 |
Yamanishi_GPCR |
Drug, Target |
NA |
IMCHGAN (Inductive Matrix Completion with Heterogeneous Graph Attention Network) |
Graph Attention Network (GAT),Inductive Matrix Completion (IMC) |
Drug Target Interaction (DTI) |
https://github.com/ljatynu/IMCHGAN/ |
NA |
NA |
NA |
NA |
NA |
NA |
34115592 |
IEEE/ACM Trans Comput Biol Bioinform |
2022 |
| 35 |
46.56 |
1658 |
Yamanishi_NR |
Drug, Target |
NA |
IMCHGAN (Inductive Matrix Completion with Heterogeneous Graph Attention Network) |
Graph Attention Network (GAT),Inductive Matrix Completion (IMC) |
Drug Target Interaction (DTI) |
https://github.com/ljatynu/IMCHGAN/ |
NA |
NA |
NA |
NA |
NA |
NA |
34115592 |
IEEE/ACM Trans Comput Biol Bioinform |
2022 |
| 35 |
46.56 |
1658 |
DTI-HN |
Drug, Disease, Target, Side-effect |
NA |
IMCHGAN (Inductive Matrix Completion with Heterogeneous Graph Attention Network) |
Graph Attention Network (GAT),Inductive Matrix Completion (IMC) |
Drug Target Interaction (DTI) |
https://github.com/ljatynu/IMCHGAN/ |
NA |
NA |
NA |
NA |
NA |
NA |
34115592 |
IEEE/ACM Trans Comput Biol Bioinform |
2022 |
| 35 |
46.56 |
1658 |
Yamanishi_E |
Drug, Target |
NA |
IMCHGAN (Inductive Matrix Completion with Heterogeneous Graph Attention Network) |
Graph Attention Network (GAT),Inductive Matrix Completion (IMC) |
Drug Target Interaction (DTI) |
https://github.com/ljatynu/IMCHGAN/ |
NA |
NA |
NA |
NA |
NA |
NA |
34115592 |
IEEE/ACM Trans Comput Biol Bioinform |
2022 |
| 36 |
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 |
| 37 |
44 |
1550 |
Luo's dataset |
Drug, Disease, Target, Side-effect |
NA |
KGE_NFM |
Neural Factorization Machine (NFM) |
Drug Target Interaction (DTI) |
https://zenodo.org/record/5500305 |
NA |
NA |
NA |
NA |
NA |
NA |
34811351 |
Nat Commun |
2021 |
| 37 |
44 |
1886 |
Fdataset |
Drug, Disease |
NA |
NMFDR (Neural Metric Factorization model for computational Drug Repositioning) |
Matrix Factorization |
Drug Disease Association (DDA) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
35061591 |
IEEE/ACM Trans Comput Biol Bioinform |
2023 |
| 37 |
44 |
1886 |
Cdataset |
Drug, Disease |
NA |
NMFDR (Neural Metric Factorization model for computational Drug Repositioning) |
Matrix Factorization |
Drug Disease Association (DDA) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
35061591 |
IEEE/ACM Trans Comput Biol Bioinform |
2023 |
| 37 |
44 |
1886 |
DNdataset |
Drug, Disease |
NA |
NMFDR (Neural Metric Factorization model for computational Drug Repositioning) |
Matrix Factorization |
Drug Disease Association (DDA) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
35061591 |
IEEE/ACM Trans Comput Biol Bioinform |
2023 |
| 38 |
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 |
| 39 |
41.66 |
1473 |
Yamanishi_IC |
Drug, Target |
NA |
DTI-HeNE (DTI based on Heterogeneous Network Embedding) |
Random Forest (RF) |
Drug Target Interaction (DTI) |
https://github.com/arantir123/DTI-hene/ |
NA |
NA |
NA |
NA |
NA |
NA |
34479477 |
BMC Bioinformatics |
2021 |
| 39 |
41.66 |
1473 |
Yamanishi_GPCR |
Drug, Target |
NA |
DTI-HeNE (DTI based on Heterogeneous Network Embedding) |
Random Forest (RF) |
Drug Target Interaction (DTI) |
https://github.com/arantir123/DTI-hene/ |
NA |
NA |
NA |
NA |
NA |
NA |
34479477 |
BMC Bioinformatics |
2021 |
| 39 |
41.66 |
1473 |
Yamanishi_NR |
Drug, Target |
NA |
DTI-HeNE (DTI based on Heterogeneous Network Embedding) |
Random Forest (RF) |
Drug Target Interaction (DTI) |
https://github.com/arantir123/DTI-hene/ |
NA |
NA |
NA |
NA |
NA |
NA |
34479477 |
BMC Bioinformatics |
2021 |
| 39 |
41.66 |
1473 |
Olayan RS |
Drug, Target |
NA |
DTI-HeNE (DTI based on Heterogeneous Network Embedding) |
Random Forest (RF) |
Drug Target Interaction (DTI) |
https://github.com/arantir123/DTI-hene/ |
NA |
NA |
NA |
NA |
NA |
NA |
34479477 |
BMC Bioinformatics |
2021 |
| 39 |
41.66 |
1473 |
Yamanishi_E |
Drug, Target |
NA |
DTI-HeNE (DTI based on Heterogeneous Network Embedding) |
Random Forest (RF) |
Drug Target Interaction (DTI) |
https://github.com/arantir123/DTI-hene/ |
NA |
NA |
NA |
NA |
NA |
NA |
34479477 |
BMC Bioinformatics |
2021 |
| 40 |
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 |
| 41 |
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 |
| 42 |
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 |
| 43 |
38 |
50 |
MATADOR |
Drug, Target |
NA |
RBM model |
Restricted Boltzmann Machine |
Drug Target Interaction (DTI) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
23812976 |
Bioinformatics |
2013 |
| 43 |
38 |
50 |
STITCH |
Drug, Target |
NA |
RBM model |
Restricted Boltzmann Machine |
Drug Target Interaction (DTI) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
23812976 |
Bioinformatics |
2013 |
| 44 |
37.8 |
328 |
MATADOR |
Drug, Target |
Drug: pubchem ID, Target: target ID(MeSH, STRING 7) |
NA |
Common Neighbours,Jaccard Index,Preferential Attachment,Katz Index |
Drug Target Interaction (DTI) |
http://www.cl.cam.ac.uk/~yg244/16bioinfo |
NA |
NA |
NA |
NA |
NA |
NA |
28095781 |
BMC Bioinformatics |
2017 |
| 45 |
37.65 |
896 |
FD dataset |
Drug |
Drug: drug perturbation gene expression level, structural fingerprint and physicochemical property |
DAMT-Model |
Convolutional Neural Network (CNN),Domain-adversarial learning,Bidirectional LSTM (Bi-LSTM) |
Drug Disease Association (DDA) |
https://github.com/JohnnyY8/DAMT-Model |
NA |
NA |
NA |
NA |
NA |
NA |
31999334 |
Bioinformatics |
2020 |
| 45 |
37.65 |
896 |
SMDC |
Drug |
Drug: drug perturbation gene expression level, structural fingerprint and physicochemical property |
DAMT-Model |
Convolutional Neural Network (CNN),Domain-adversarial learning,Bidirectional LSTM (Bi-LSTM) |
Drug Disease Association (DDA) |
https://github.com/JohnnyY8/DAMT-Model |
NA |
NA |
NA |
NA |
NA |
NA |
31999334 |
Bioinformatics |
2020 |
| 46 |
30.5 |
604 |
Yamanishi |
Drug, Disease, Target |
NA |
Heter-LP |
Label Propagation |
Drug Target Interaction (DTI),Drug Disease Association (DDA) |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
30547450 |
Methods Mol Biol |
2019 |
| 47 |
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 |