The search result for the key word "Affinity2Vec"
A total of 2 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 | 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 |
| 1 | 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 |
