The search result for the key word "GraphDTA"
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 | 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 |
| 1 | 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 |
