The search result for the key word "VGAEDTI"
A total of 1 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 | 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 |
