Biological Function Prediction (BFP) uses advanced deep learning models to predict whether ginsenosides and related compounds have known biological functions.

Key Features:

• Binary Classification: Predicts whether a compound has any known biological function, reducing label uncertainty and enhancing model robustness
• NLP-Enhanced Models: Integrates conventional molecular descriptors with natural language processing embeddings for improved accuracy
• Comprehensive Training: Trained on the GinDB-AI database containing systematically curated literature from 1963 to 2024

Applications:

• Discovery of bioactive ginsenosides
• Mechanistic understanding of ginseng compounds
• Food chemistry and natural products research
• Pharmacological and clinical applications

Simply input SMILES strings with compound names, and the model will predict biological function probability based on molecular structure.