The search result for the key word "DTI-HETA"
A total of 3 results found based on your keywords| 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 | 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 |
| 1 | 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 |
| 1 | 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 |
