.png){kind=icon}
.png){kind=icon}
Return
Explainable Machine Learning and Deep Learning Models for Predicting TAS2R-Bitter Molecule Interactions
.png){kind=icon}
OA
AI
DOI：10.1016/j.jmgm.2025.109187.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• Two ML models (TML & GCN) predict bitter molecule-receptor interactions • TML and GCN achieve comparable performance across all evaluation metrics • Models identify molecular features driving specific TAS2R targeting • SHAP analysis reveals feature importance for TML model predictions • GNNExplainer and Grad-CAM provide visual explanations on molecular structure
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3
Papers:
521
Citations:
1.3W