The search result for the key word "MSGNN-DTA"
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 |
80.7 |
1994 |
Davis |
Drug, Target |
Drug: SMILES, Target: the amino acid sequences |
MSGNN-DTA |
Graph Neural Network (GNN) |
Drug Target binding Affinity (DTA) |
https://github.com/songxuanmo/MSGNN-DTA |
Case studies |
NA |
Epidermal Growth Factor Receptor (EGFR) |
NA |
NA |
Top 11 drugs |
37176031 |
Int J Mol Sci |
2023 |
| 1 |
80.7 |
1994 |
KIBA |
Drug, Target |
Drug: SMILES, Target: the amino acid sequences |
MSGNN-DTA |
Graph Neural Network (GNN) |
Drug Target binding Affinity (DTA) |
https://github.com/songxuanmo/MSGNN-DTA |
Case studies |
NA |
Epidermal Growth Factor Receptor (EGFR) |
NA |
NA |
Top 11 drugs |
37176031 |
Int J Mol Sci |
2023 |
