---
title: PhytoAI Assistant
emoji: 🌿
colorFrom: green
colorTo: blue
sdk: streamlit
sdk_version: 1.28.0
app_file: app.py
pinned: false
license: cc-by-4.0
tags:
- phytotherapy
- natural-compounds
- bioactivity
- drug-discovery
- ai-assistant
- research-tool
---

# PhytoAI Assistant 🌿

**Interactive AI Assistant for Phytotherapy Research** - Explore natural compounds and their bioactivities using cutting-edge AI technology.

## 🎯 Overview

The PhytoAI Assistant is an interactive web application built with Streamlit that provides researchers, students, and pharmaceutical professionals with easy access to a comprehensive database of natural compounds and their documented bioactivities. This tool leverages the [PhytoAI MEGA Dataset](https://huggingface.co/datasets/Gatescrispy/phytoai-mega-dataset) containing 352 unique natural compounds and 1,314 bioactivities.

## ✨ Key Features

### 🔍 Advanced Search Capabilities
- **Compound Name Search**: Find specific natural compounds by name (e.g., curcumin, resveratrol, quercetin)
- **Therapeutic Activity Search**: Discover compounds by their therapeutic properties:
  - Anti-inflammatory
  - Antioxidant  
  - Cardiovascular protective
  - Neuroprotective
  - Anti-cancer
  - Antimicrobial

### 📊 Interactive Data Visualization
- **Real-time Statistics**: Live metrics on compound count, bioactivities, and therapeutic coverage
- **Distribution Charts**: Visual analysis of therapeutic activities using Plotly
- **Pie Charts**: Therapeutic area distribution for quick insights
- **Bar Charts**: Activity type frequency analysis

### 🧬 Comprehensive Compound Information
- **Molecular Properties**: Chemical formulas, SMILES notation, molecular weights
- **Database Cross-references**: PubChem CID mappings for further research
- **Bioactivity Profiles**: Detailed activity descriptions with experimental context
- **Literature References**: Links to original research and validation studies

## 🚀 How to Use

1. **Launch the Application**: The interface loads automatically with dataset statistics
2. **Search Compounds**: Use the sidebar to search by compound name or therapeutic activity
3. **Explore Results**: Click on compound cards to see detailed molecular and bioactivity information
4. **Analyze Data**: Review interactive charts to understand therapeutic distribution patterns
5. **Cross-reference**: Use PubChem CIDs for additional research in external databases

## 📈 Dataset Integration

This application seamlessly integrates with the **PhytoAI MEGA Dataset** through Hugging Face's `hf_hub_download` functionality, ensuring:

- **Always Up-to-date**: Automatic synchronization with the latest dataset version
- **Efficient Loading**: Cached data loading for optimal performance
- **Reliable Access**: Robust error handling and fallback mechanisms

## 🔬 Research Applications

### Academic Research
- **Drug Discovery**: Identify promising natural compounds for pharmaceutical development
- **Ethnopharmacology**: Validate traditional medicine uses with modern bioactivity data
- **Chemical Biology**: Explore structure-activity relationships in natural products

### Pharmaceutical Industry
- **Lead Compound Identification**: Screen natural products for specific therapeutic targets
- **Bioactivity Prediction**: Use existing data to guide synthetic chemistry efforts  
- **Competitive Intelligence**: Monitor natural product research trends and opportunities

### Educational Use
- **Teaching Tool**: Interactive exploration of phytochemistry and pharmacology concepts
- **Student Projects**: Real-world dataset for bioinformatics and cheminformatics training
- **Research Training**: Hands-on experience with pharmaceutical data analysis

## 🛠️ Technical Architecture

### Frontend
- **Streamlit**: Modern, responsive web interface
- **Plotly**: Interactive data visualizations
- **Pandas**: Efficient data manipulation and analysis

### Backend
- **Hugging Face Hub**: Dataset storage and version control
- **JSON/CSV**: Structured data formats optimized for research
- **Caching**: Optimized performance with Streamlit's caching system

### Data Pipeline
```Hugging Face Dataset → hf_hub_download → JSON Loading → 
Pandas Processing → Streamlit Interface → Interactive Visualizations
```

## 📊 Dataset Statistics

- **🧬 Compounds**: 352 unique natural products
- **🔬 Bioactivities**: 1,314 documented activities  
- **🎯 Therapeutic Areas**: 6+ major categories
- **📚 Sources**: PubChem, ChEMBL, peer-reviewed literature
- **🔄 Updates**: Regularly maintained and expanded

## 🌐 Related Resources

- **📊 Dataset**: [PhytoAI MEGA Dataset](https://huggingface.co/datasets/Gatescrispy/phytoai-mega-dataset)
- **🤖 Models**: [PhytoAI Discovery Models](https://huggingface.co/Gatescrispy/phytoai-discovery-models)
- **📖 Documentation**: Comprehensive API and usage documentation
- **💬 Community**: Research collaboration and support forum

## 🏆 Impact & Recognition

This tool has been designed to bridge the gap between traditional phytotherapy knowledge and modern AI-driven drug discovery, providing researchers worldwide with:

- **Accessible Data**: User-friendly interface for complex bioactivity data
- **Research Acceleration**: Rapid compound screening and hypothesis generation
- **Global Collaboration**: Shared platform for international research initiatives
- **Educational Value**: Training resource for next-generation researchers

## 📄 Citation & License

**License**: CC BY 4.0 - Free for academic and commercial use with attribution

**Citation**: If you use PhytoAI Assistant in your research, please cite:
```bibtex
@software{phytoai_assistant_2025,
  title={PhytoAI Assistant: Interactive AI Tool for Phytotherapy Research},
  author={Tantcheu, Cedric},
  year={2025},
  url={https://huggingface.co/spaces/Gatescrispy/phytoai-assistant},
  note={Interactive Streamlit application for natural compound bioactivity exploration}
}
```

## 👨‍💻 About the Developer

**Cedric Tantcheu** - AI & Phytotherapy Research Specialist
- 🎓 Expertise in cheminformatics, machine learning, and natural product research
- 🔬 Focus on AI-driven drug discovery from traditional medicine
- 🌍 Committed to open science and global health solutions

---

**🌿 Advancing phytotherapy research through intelligent technology**

*Built with ❤️ for the global research community*